Demystifying the Google Cloud Certified Digital Leader Certification: An In-depth Examination

Embarking on the journey to become a Google Cloud Certified Digital Leader necessitates a profound understanding of general cloud principles and the extensive portfolio of Google Cloud Platform (GCP) products and services. While seasoned Google Cloud professionals might find the certification path less arduous, thorough preparation through meticulously crafted practice examinations is universally recommended to acclimatize oneself to the actual exam structure. Certbolts provides exceptional GCP Digital Leader practice questions for this certification, including a complimentary test to gauge initial proficiency. This comprehensive guide presents a selection of sample questions designed to illuminate the exam’s inherent patterns and underlying knowledge domains.

The Role of a Cloud Digital Leader

A Cloud Digital Leader serves as a pivotal figure in an organization, meticulously investigating various Google core products and services to address specific business imperatives. These certified professionals possess an intricate knowledge of Google Cloud’s storage solutions and play a critical role in an organization’s strategic planning. They are adept at articulating the capabilities of Google Cloud products and services, demonstrating how these offerings can effectively serve organizational objectives. Furthermore, they are proficient in delineating pertinent business use cases and expounding upon the tangible benefits that accrue to organizations from their adoption.

This article delves into 25 meticulously curated sample questions for the Google Cloud Certified Cloud Digital Leader certification examination. These questions are systematically categorized based on the certification exam’s core subject areas, providing a structured approach to preparation. The GCP exam blueprint encompasses three fundamental skill sets: General Cloud Knowledge, General Google Cloud Knowledge, and Google Products & Services.

Grasping Core Cloud Concepts

This section is dedicated to fostering a fundamental comprehension of the broader cloud computing landscape. It encompasses defining cloud infrastructure, discerning ownership paradigms, understanding the shared responsibility model, and recognizing the essential characteristics that define cloud computing. The subsequent questions are designed to ascertain your foundational grasp of cloud concepts.

Question 1: Cloud Deployment Model for Internal, Solely Operated Infrastructure

You are advising a major financial institution contemplating the adoption of a public cloud. The company’s IT advisory group has explicitly stated their desire for cloud infrastructure to be exclusively operated for their benefit and hosted within their internal environment.

Which of the following options represents the most appropriate choice for this organization?

• Public Cloud B. Private Cloud C. Hybrid Cloud D. Any of the above

Correct Answer: B

Elucidation:

Option A is inaccurate because the Public Cloud deployment model typically extends its services to multiple customers, unless a dedicated option is specifically chosen. Moreover, a Public Cloud is not inherently hosted internally, which contradicts the stated requirement.

Option B is the precise choice because the Private Cloud deployment model directly addresses the following requisites:

• Solely operated for a single customer.
• Hosted internally for the customer.

Option C is incorrect as it signifies a fusion of both Private and Public Cloud models, which does not exclusively align with the organization’s internal hosting and sole operation preference.

Option D is unsuitable since neither Public Cloud nor Hybrid Cloud fully satisfies the stipulated conditions.

Question 2: Ensuring Application and Data Availability in Case of Data Center Unavailability

As a Senior Project Manager, you are actively engaged in developing a Request for Proposal (RFP). The architectural team has finalized the high-level design of the proposed solution. This proposed solution includes a critical section detailing how the implementation will guarantee the continuous availability of client applications and data in the event of a specific data center becoming inaccessible.

How should you appropriately label this section within your RFP?

• Highlight this as a “Business Continuity Plan.” B. Highlight this as “Proactive Monitoring.” C. Highlight this as a “Continuous Improvement Plan.” D. Highlight this as an “Automation” section.

Correct Answer: A

Elucidation:

Option A is unequivocally correct. This segment of the solution precisely outlines the measures to ensure application and data availability in the unfortunate circumstance of a data center’s unavailability. Therefore, it must be designated as a Business Continuity Plan.

Option B is erroneous. Proactive monitoring entails the ongoing surveillance of various alerts and the consistent observation of application behavior to pinpoint any nascent issues. The presented scenario, however, focuses on maintaining operational resilience despite data center outages.

Option C is incorrect. A Continuous Improvement Plan delineates endeavors aimed at refining and enhancing ongoing services. This does not align with the objective of ensuring immediate availability during a data center failure.

Option D is also incorrect. An Automation plan details the proposed automation implementations and does not directly address business continuity in the face of data center unavailability.

Question 3: Identifying a Google Cloud PaaS Product Offering

Which of the following is an example of a Google Cloud Platform as a Service (PaaS) product offering?

• Google Workspace B. Google App Engine C. Google Compute Engine D. Persistent Disk

Correct Answer: B

Elucidation:

Option A is inaccurate. Google Workspace is a Software as a Service (SaaS) offering, providing a suite of productivity and collaboration tools.

Option B is accurate. Google App Engine is indeed a PaaS offering, enabling developers to build and deploy scalable web applications and mobile backends without managing the underlying infrastructure.

Option C is incorrect. Google Compute Engine represents an Infrastructure as a Service (IaaS) offering, providing virtual machines and other computing resources.

Option D is also incorrect. Persistent Disk is an IaaS offering, providing durable block storage for virtual machines.

Question 4: Cloud Computing Models Requiring Customer-Owned Operating System Patching

Which of the following Cloud Computing models mandates that customers assume responsibility for Operating System patching?

• IaaS (Infrastructure as a Service) B. PaaS (Platform as a Service) C. SaaS (Software as a Service) D. FSaaS (FileSystem as a Service)

Correct Answer: A

Elucidation:

Option A is correct. In the Infrastructure as a Service (IaaS) model, customers retain control and responsibility for managing the operating systems, including applying patches to the servers they provision.

Option B is incorrect. For their Platform as a Service (PaaS) offerings, the cloud provider is responsible for patching the underlying Operating System.

Option C is incorrect. Similarly, for their Software as a Service (SaaS) offerings, the cloud provider bears the responsibility for Operating System patching.

Option D is incorrect. FSaaS is not a recognized or valid Cloud Computing model.

Question 5: Cloud Offering for Data Collection from On-Road Vehicles in Self-Driving Applications

A startup focused on self-driving vehicle applications requires the ability to collect data from vehicles operating on the road.

Which offering from cloud providers would best facilitate the organization in transmitting this data from currently on-road vehicles for data collection purposes?

• Machine Learning product offering B. IoT product offering C. Data Analytics product offering D. Storage product offering

Correct Answer: B

Elucidation:

Option A is incorrect. Machine learning product offerings from cloud providers empower organizations to construct, deploy, and scale artificial intelligence models. While data collected might be used for ML, the primary act of collection from vehicles falls under a different domain.

Option B is correct. Internet of Things (IoT) offerings from cloud providers are specifically designed to aid in the collection of data from various field sources, including sensors embedded in self-driving vehicles, agricultural equipment, satellites, and other remote devices.

Option C is incorrect. Data Analytics offerings from cloud providers are geared towards unlocking the potential of big data by enhancing data analysis capabilities, ultimately leading to improved business decision-making. This comes after data collection.

Option D is incorrect. Storage product offerings from cloud providers primarily facilitate the secure retention of diverse data types. While collected data will be stored, this option describes the storage mechanism, not the data transmission from the source.

Navigating the Google Cloud Ecosystem

This section provides a succinct overview of Google Cloud and its underlying technologies. It encompasses identifying current Google Cloud requirements, establishing a consumption-based pricing model, and understanding its geographical segmentation strategy, including regions, zones, and multi-regional resources. Evaluate your comprehension by addressing the following related questions.

Question 6: Google Cloud Offering for Reliable and High-Performance Block Storage for Virtual Machines

Which of the Google Cloud offerings for Virtual Machines provides reliable and high-performance block storage?

• Preemptible VMs B. Cloud storage for Firebase C. Local SSD D. Persistent Disk

Correct Answer: D

Elucidation:

Option A is inaccurate. Preemptible VMs are transient compute instances best suited for fault-tolerant batch jobs due to their short-lived nature and potential for preemption. They are not primarily a block storage offering.

Option B is inaccurate. Cloud Storage for Firebase is designed to store and serve user-generated content, but it’s not a general-purpose block storage solution for virtual machines.

Option C is inaccurate. Local SSD also provides high-performance block storage, but it is locally attached to the virtual machine, meaning its data is ephemeral with the VM instance. The question asks for reliable and high-performance block storage in a general sense, implying external, persistent storage.

Option D is accurate. Persistent Disk from Google Cloud offers robust and high-performance block storage specifically designed for use with Virtual Machines, providing durability and availability independently of the VM instance.

Question 7: Implementing Fine-Grained Management and Cost Allocation Using Organizations in Google Cloud

Which of the following could be implemented for fine-grained management and cost allocation when utilizing organizations in Google Cloud?

• Billing access control B. Quotas C. Resource hierarchy D. Budgets

Correct Answer: C

Elucidation:

Option A is inaccurate. Billing access control assists in enforcing organizational policies at various levels within the resource hierarchy, but it is not the primary mechanism for fine-grained management and cost allocation across an organization’s resources.

Option B is inaccurate. Quotas primarily serve to control spending and prevent unforeseen usage spikes proactively by setting limits on resource consumption. While indirectly related to cost, they are not the central tool for allocation.

Option C is accurate. The Resource Hierarchy is the fundamental structure that should be implemented for achieving fine-grained management and precise cost allocation within an organization in Google Cloud, enabling hierarchical control over resources and billing.

Option D is inaccurate. Budgets are most beneficial for monitoring the costs incurred on Google Cloud, providing alerts when spending approaches or exceeds predefined thresholds. They are a monitoring tool, not an allocation or management structure.

Question 8: Estimating Total Cost for Workload on Google Cloud for a Crowdsourcing Platform

A crowdsourcing platform intends to host its applications and services on Google Cloud. Prior to onboarding these applications and services, they wish to obtain an immediate estimation of the total cost they will incur for running their workload on Google Cloud.

What would you recommend to them to obtain this estimation promptly?

• Browse Pricing list for Individual service B. Use Pricing Calculator C. Contact Google Support D. Contact Your Google Account Manager

Correct Answer: B

Elucidation:

Option A is inaccurate. Browse individual service pricing lists would necessitate considerable manual effort and time-consuming calculations, making it an inefficient choice, especially when Google provides a dedicated «Pricing Calculator.»

Option B is accurate. The Google Cloud Pricing Calculator is the optimal and most expeditious method to obtain a cost estimation. It is freely accessible to anyone and provides immediate, interactive cost projections.

Option C is inaccurate. While contacting Google Support is an available avenue, the pricing calculator offers an immediate and self-service estimation, making it a superior initial choice for speed and convenience.

Option D is inaccurate. Contacting a Google Account Manager is typically available only with specific Google Support plans. Since the scenario does not specify that the customer has such a plan, this option is not universally applicable or the most immediate.

Question 9: Disaster Recovery Strategy for an Application Withstanding an Entire Region Loss

You are tasked with designing a solution that requires building an application with disaster recovery capabilities, specifically able to withstand the loss of an entire region.

Identify the strategy that is not suitable for implementing this solution.

• Use multiregional storage services. B. Use a zonal resource, but snapshot data to a multiregional resource. C. Use a zonal resource but manage own data replication to other regions as required. D. Use a managed zonal resource.

Correct Answer: D

Elucidation:

Option A is inaccurate. Utilizing multiregional storage services inherently provides resilience against the loss of an entire region, as data is distributed and replicated across multiple geographical locations.

Option B is inaccurate. Even if you use a zonal resource, taking snapshots of data to a multiregional resource ensures that your data is recoverable and available in another region, thus allowing the application to withstand a regional outage.

Option C is inaccurate. Although employing zonal resources, the explicit management of data replication to other regions ensures that the application can maintain availability and withstand the loss of an entire region through your own replication strategy.

Option D is accurate. Relying solely on a «managed zonal resource» without any explicit cross-regional replication or architectural considerations for regional failure will not enable the application to sustain a regional failure. Zonal resources are susceptible to outages affecting their specific zone or the entire region they reside in.

Question 10: Accurate Definition of a Google Cloud Region

Which of the following statements appropriately defines a Google Cloud Region?

• Collection of Data Centers is Region. B. There is One Zone per Region. C. Collection of Zones is Region. D. There is One Data Center per Region.

Correct Answer: C

Elucidation:

Option A is inaccurate. Regions are composed of Zones, and Zones, in turn, contain data centers. This statement incorrectly defines the hierarchical relationship.

Option B is inaccurate. A Google Cloud Region is designed to comprise multiple, isolated Zones to provide high availability and fault tolerance. Therefore, a Region can have multiple Zones, not just one.

Option C is accurate. This statement correctly defines a Google Cloud Region as a collection of logically and often physically isolated Zones.

Option D is inaccurate. A Region encompasses one or more Zones, and each Zone can contain one or more data centers. Therefore, a Region certainly has more than one data center in total.

Question 11: Correct Statement Regarding Google Cloud Resources

Which of the following statements about Google Cloud resources is CORRECT?

• Static external IP addresses are Zone specific resources. B. Disk snapshots are Region-specific resources. C. Any Google Cloud resource that is being used, must necessarily belong to a project. D. VM instances are Global.

Correct Answer: C

Elucidation:

Option A is inaccurate. Static external IP addresses in Google Cloud are Regional resources, meaning they are associated with a specific region and can be used across multiple zones within that region, not confined to a single zone.

Option B is inaccurate. Disk snapshots in Google Cloud are Global resources, meaning they can be accessed and used across all regions and zones, not limited to a specific region.

Option C is accurate. This is a fundamental principle of Google Cloud’s resource hierarchy and identity management. Every Google Cloud resource, regardless of its type, must be associated with and reside within a project.

Option D is inaccurate. Virtual Machine (VM) instances in Google Cloud are Zonal resources, meaning they are deployed within a specific zone and are subject to the availability and performance of that zone.

Question 12: Granting Permissions to a New Team Member in Google Cloud IAM

A new team member has joined your project. You need to grant them permission to access a few Google Cloud resources through Identity and Access Management (IAM).

How can you grant permission to your new team member so that they can access the required Google Cloud resources?

• Directly grant the permissions to access the resources as required. B. Grant role to the team member to access the resources as required. C. Grant IAM policy to the team member to access the resources as required. D. Give pre-authenticated URLs so that the new team member can access the required resources.

Correct Answer: B

Elucidation:

Option A is inaccurate. In Google Cloud IAM, permissions are not directly assigned to individual team members. Instead, permissions are bundled into roles.

Option B is accurate. The correct methodology in IAM is to group specific permissions into predefined or custom roles, and then these roles are granted to the team member to enable their access to the desired resources.

Option C is inaccurate. An IAM policy is a document attached to a resource that defines what roles are granted to which members. You don’t grant an «IAM policy» directly to a team member; rather, the policy governs the roles assigned to members.

Option D is inaccurate. Pre-authenticated URLs are typically used for temporary, direct access to specific objects in Cloud Storage or similar services, not as a general mechanism for granting ongoing access to various Google Cloud resources via IAM.

Question 13: Number of Parents a Resource Can Have in Google Cloud

How many parent(s) can one resource have in Google Cloud?

• 1 B. 2 C. 3 D. Depends on the resource type

Correct Answer: A

Elucidation:

Option A is accurate. In Google Cloud’s resource hierarchy, each resource has exactly one parent. This single-parent relationship forms a strict, tree-like structure, ensuring a clear and consistent organizational model.

Options B, C, and D are inaccurate. The number of parents for a resource in Google Cloud is consistently one, regardless of the resource type. This foundational principle underpins the entire resource hierarchy and management model.

Question 14: Understanding «In Progress Google Engineering» Support Case Status

Your organization has opted for an Enhanced support offering. You have created a support case, and its current status is «In progress Google engineering.»

What does a support case status of «In progress Google engineering» signify?

• The case is assigned to one of Google’s cloud engineers. B. The support case is being worked upon by Google Cloud Customer care engineers. C. The support case is being investigated by Google product engineers. D. The support case is being investigated by another Google engineer team.

Correct Answer: C

Elucidation:

Option A is inaccurate. When a support case is assigned to one of Google’s cloud engineers, the status typically changes to «Assigned» or similar, indicating initial assignment.

Option B is inaccurate. When the support case is being actively addressed by Google Cloud Customer Care engineers, the status is generally «In progress Cloud Customer Care,» indicating that the primary support team is engaged.

Option C is accurate. The status «In progress Google engineering» specifically denotes that the support case has been escalated and is currently under investigation by the Google product engineers responsible for the underlying service or product related to the issue. This implies a deeper level of technical scrutiny.

Option D is inaccurate. While it involves another Google engineering team, the more precise and specific status for investigation by a different Google engineering team (not directly product-related) would be «In progress Google other.»

Question 15: Selecting Problem Type for ‘Momentary Problems’ in Support Case Creation

When creating a Support Case and describing the issue, which of the following problem types would you select for ‘momentary problems’?

• Intermittent B. Transient C. Consistent D. Recurring

Correct Answer: B

Elucidation:

Option A is inaccurate. Intermittent problems are characterized by occurring randomly without a predictable or regular failure pattern, making them difficult to reproduce consistently.

Option B is accurate. For ‘momentary problems’ that are brief and often self-resolving, the appropriate problem type to select is «Transient.» This indicates that the issue appears and disappears quickly.

Option C is inaccurate. Consistent problems refer to issues that fail completely and reliably, occurring every time a particular action is performed or under specific conditions.

Option D is inaccurate. «Recurring» is not a standard or valid problem type used in the context of Google Cloud support cases; while a problem might recur, «Transient» or «Intermittent» would be more specific descriptors for its behavior.

Google Cloud Products and Services: A Deep Dive

This section specifically focuses on the diverse offerings within Google Cloud services and their interrelationships. It constitutes the most crucial segment of the Cloud Digital Leader exam. It elucidates the advantages of Google Cloud’s virtual machine (VM)-based compute options, including considerations for custom versus standard sizes, available attached storage disk options, and the utility of Preemptible VMs.

Question 16: Google Cloud Product for Storing API Keys and Certificates Securely

You are tasked with implementing security measures and plan to store API keys and certificates used across your Google Cloud environment.

Which of the following Google Cloud products would you plan to utilize for this purpose?

• Secret Manager B. Cloud Key Management C. Security Command Center D. A & B

Correct Answer: A

Elucidation:

Option A is accurate. Secret Manager is specifically designed to store and manage sensitive data such as API keys, passwords, certificates, and other secrets securely throughout their lifecycle.

Option B is inaccurate. Cloud Key Management Service (KMS) helps in managing encryption keys that are used to encrypt data. It does not directly store API keys or certificates as plaintext or as the primary storage mechanism for such secrets. It manages the keys for encryption, not the secrets themselves.

Option C is inaccurate. Security Command Center is a comprehensive security management and data risk platform that helps defend Google Cloud assets against threats by providing visibility and control. It is not designed for storing API keys or certificates.

Option D is inaccurate because Cloud Key Management is not the correct option for storing API keys and certificates; it manages encryption keys.

Question 17: Most Cost-Efficient Support Plan with Phone Support for Billing Issues for a Startup

Your client, a newly established startup company, desires the most economical customer care support plan that includes phone support specifically for billing issues.

Which support plan would you recommend to your client, ensuring that the proposed plan is the most cost-efficient?

• Basic Support B. Standard Support C. Enhanced Support D. Premium Support

Correct Answer: A

Elucidation:

Option A is accurate. Google Cloud’s Basic Support offering includes phone support exclusively for billing issues, along with case and chat support for other matters. Critically, Basic Support is included with a Google Cloud subscription without any additional charges, making it the most cost-efficient choice as requested.

Option B is inaccurate. While Standard Support does offer phone support for billing issues, it is a paid plan. The scenario explicitly asks for the most cost-efficient plan, rendering paid options less suitable if a free alternative exists.

Option C is inaccurate. Similarly, Enhanced Support provides phone support for billing issues but is also a paid plan, thus not meeting the «most cost-efficient» criterion.

Option D is inaccurate. Premium Support, while offering comprehensive phone support, is the highest-tier and most expensive paid plan, making it unsuitable for a client seeking the most cost-efficient option.

Question 18: Disk Type Not Backed by Solid State Drives (SSD)

Which of the following disk types is not backed by Solid State Drives (SSD)?

• Standard persistent disks (pd-standard) B. Balanced persistent disks (pd-balanced) C. SSD persistent disks (pd-ssd) D. Extreme persistent disks (pd-extreme)

Correct Answer: A

Elucidation:

Option A is accurate. Standard persistent disks (pd-standard) are backed by traditional Hard Disk Drives (HDD). This makes them a more cost-effective option for workloads that do not require high input/output operations per second (IOPS) or low latency.

Option B is inaccurate. Balanced persistent disks (pd-balanced) are backed by solid-state drives (SSD) and are designed to offer a good balance of performance and cost.

Option C is inaccurate. SSD persistent disks (pd-ssd) are explicitly named and backed by solid-state drives (SSD), providing higher performance than standard disks.

Option D is inaccurate. Extreme persistent disks (pd-extreme) are also backed by solid-state drives (SSD) and are optimized for workloads demanding extremely high IOPS and throughput.

Question 19: Protecting Virtual Machines from Accidental Deletion

As part of your workload, a VM instance is running a SQL server, and another VM is being used as a license manager. Given the critical nature of both the SQL Server and the license manager, you must ensure that these instances operate indefinitely and are not inadvertently deleted.

How can these VMs be protected from deletion?

• Enable “delete protection” feature. B. Enable “no delete” feature. C. Enable “restrict delete” feature. D. Enable “run continuous” feature.

Correct Answer: A

Elucidation:

Option A is accurate. Google Cloud provides a «delete protection» feature for Virtual Machine instances. When enabled, this feature prevents the accidental deletion of the VM instance, requiring an explicit disabling of the protection before deletion can occur.

Options B, C, and D are inaccurate. «No delete,» «restrict delete,» and «run continuous» are not valid or recognized features within Google Cloud for protecting VM instances from deletion.

Question 20: Ideal Choices for a Persistent Disk Snapshot

Which of the resources listed below is an ideal choice for a Persistent Disk snapshot? (Choose 2)

• Single disk backup B. Differential backup C. Multiple disk backup D. VM Instance configuration E. Instance cloning and replication

Correct Answers: A and B

Elucidation:

Option A is accurate. Persistent Disk snapshots are an excellent mechanism for creating a backup of a single disk. This is a common use case for data recovery and point-in-time restoration.

Option B is accurate. Persistent Disk snapshots inherently perform a differential backup. After the initial full snapshot, subsequent snapshots only capture the changes (deltas) from the previous snapshot, making them efficient in terms of storage and creation time.

Option C is inaccurate. While you can take snapshots of individual disks, Persistent Disk snapshots are not designed as a direct mechanism for creating a single, consolidated backup of multiple disks simultaneously as a coordinated unit. For coordinated backups across multiple disks or a consistent application state, you might need higher-level tools or application-level consistent snapshots.

Option D is inaccurate. A Persistent Disk snapshot captures the state of the disk’s data, not the VM instance configuration itself. VM instance configurations are typically managed through instance templates or other deployment tools.

Option E is inaccurate. While snapshots can be used as a basis for creating new disks, and thus new instances (instance cloning), they are not directly a feature for «instance cloning and replication» in the broader sense of active, synchronized replication. For replication, other services like managed instance groups or database replication mechanisms would be more appropriate.

Question 21: Google Cloud Product for Metadata Inventory Service Across GCP and Anthos Assets

Which Google Cloud product would be best suited to serve as a metadata inventory service, enabling customers to have a comprehensive view of all GCP and Anthos assets across projects and services?

• Access Transparency & Access Approval B. Binary Authorization C. Cloud Asset Inventory D. Confidential Computing

Correct Answer: C

Elucidation:

Option A is inaccurate. Access Transparency and Access Approval are features that provide visibility into Google administrative access to customer data and allow customers to approve or deny such access. They are security and auditing tools, not an inventory service.

Option B is inaccurate. Binary Authorization is a deployment-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE) or Cloud Run by enforcing policies. It’s a security enforcement tool, not an asset inventory.

Option C is accurate. Cloud Asset Inventory is precisely a metadata inventory service in Google Cloud. It allows customers to gain a unified and real-time view of all their GCP and Anthos assets across different projects and services, facilitating monitoring, analysis, and auditing of their cloud resources.

Option D is inaccurate. Confidential Computing is a technology that helps customers encrypt sensitive data while it is actively being processed or «in-use,» providing an additional layer of security. It’s a data protection feature, not an asset inventory.

Question 22: Google Cloud AI Product for Unstructured Text Classification and Sentiment Analysis

Which Google Cloud AI product helps classify unstructured text and perform sentiment analysis?

• Vertex AI B. Cloud Translation C. Natural Language AI D. Dialogflow

Correct Answer: C

Elucidation:

Option A is inaccurate. Vertex AI is a unified machine learning platform that helps users build, deploy, and scale ML models faster. While it can be used to build models for text classification and sentiment analysis, it is the platform, not the specific pre-trained API.

Option B is inaccurate. Cloud Translation is a service that provides machine translation capabilities, enabling the conversion of text between different languages.

Option C is accurate. Natural Language AI (specifically the Cloud Natural Language API) is a Google Cloud AI product that offers pre-trained models for various natural language processing tasks, including classifying unstructured text into categories and performing sentiment analysis to determine the emotional tone of text.

Option D is inaccurate. Dialogflow is a platform for building conversational interfaces, such as chatbots and voice assistants. It focuses on understanding user intent and managing conversational flows.

Question 23: Google Cloud Product for Event-Driven Serverless Functions

To ensure the developers’ code functionality in “Event-Driven Serverless Functions,” which Google Cloud product should a customer opt for?

• Cloud Functions B. Cloud Serverless C. Anthos Cluster D. Cloud Foundation toolkit

Correct Answer: A

Elucidation:

Option A is accurate. Cloud Functions is a fully managed, serverless execution environment specifically designed for building and deploying event-driven serverless functions. Developers write code that responds to events without managing servers.

Option B is inaccurate. «Cloud Serverless» is a general concept encompassing various serverless products, not a specific Google Cloud product offering.

Option C is inaccurate. Anthos Cluster is a platform that allows organizations to deploy and manage Kubernetes across multi-cloud and hybrid cloud environments. While it can host applications, it’s not the primary service for developing individual event-driven serverless functions.

Option D is inaccurate. The Cloud Foundation Toolkit provides Infrastructure as Code templates and best practices for deploying secure and scalable environments on Google Cloud. It’s a set of deployment tools, not a serverless compute product itself.

Question 24: Google Cloud Product for Log Management, Analysis, and Alerting

Which Google Cloud product helps customers:

• Search and analyze log files through query statements?
• Use Public Write APIs to write custom logs from on-premise?
• Set alerts for notifying when a specific message appears in logs?
• Cloud Logging B. Cloud Debugger C. Cloud Trace D. Cloud Monitoring

Correct Answer: A

Elucidation:

Option A is accurate. Cloud Logging (formerly Stackdriver Logging) is a comprehensive service for collecting, storing, viewing, analyzing, and alerting on log data from Google Cloud and custom sources. It supports querying logs, provides Public Write APIs for ingesting logs from various environments, and enables setting up alerts based on log patterns.

Option B is inaccurate. Cloud Debugger helps developers investigate the behavior of their code in production by allowing them to inspect variables and inject logging statements without stopping the application. It’s for debugging, not general log management and analysis.

Option C is inaccurate. Cloud Trace is a distributed tracing system that helps identify performance bottlenecks and latency issues within applications. While it processes data, it’s focused on tracing, not comprehensive log management.

Option D is inaccurate. Cloud Monitoring (formerly Stackdriver Monitoring) facilitates the collection of metrics, creating visualizations, and setting up alerts based on the availability, performance, and health of applications and infrastructure. While it works alongside logging, its primary focus is on metrics, not detailed log analysis.

Question 25: Pub/Sub Feature for Offline Message Examination and Debugging

Which of the following features of Pub/Sub allows for offline examination and debugging of messages to ensure no-delay processing of other messages?

• Exactly once processing B. Seek and replay C. Dead Letter topics D. Filtering

Correct Answer: C

Elucidation:

Option A is inaccurate. «Exactly once processing» in Pub/Sub aims to ensure that messages are processed precisely one time by subscribers, even in the face of failures, but it doesn’t directly provide a mechanism for offline debugging.

Option B is inaccurate. The «seek and replay» feature of Pub/Sub enables subscribers to reprocess messages from a specific point in time or a snapshot of the backlog, essentially rewinding the stream. While useful for reprocessing, it’s not primarily for offline debugging of failed messages without impacting the main stream.

Option C is accurate. Dead Letter topics (also known as Dead-Letter Queues or DLQs) in Pub/Sub are specifically designed to store messages that could not be successfully processed by a subscriber after a certain number of delivery attempts. These messages are then moved to a separate topic, allowing for their offline examination and debugging without impeding the continuous flow and processing of other, valid messages in the main topic.

Option D is inaccurate. Filtering enables subscribers to receive only messages that match specific attributes, providing a way to selectively consume messages, but it does not facilitate offline debugging of problematic messages.

Reinforcing Infrastructure and Application Modernization with Google Cloud

Question 26: Appropriate Use Cases for Local SSD

Which of the below-listed use cases should Local SSD be used for? (Choose 2)

• Genome sequencing B. Media rendering C. Data archiving D. Use as cache E. Batch Jobs

Correct Answers: B and D

Elucidation:

Option A is inaccurate. Genome sequencing, while requiring speed, scalability, and security, often involves large, shared file systems for analysis. Filestore, Google Cloud’s managed file storage, is typically more appropriate for this kind of shared, high-performance file access than a locally attached SSD.

Option B is accurate. Local SSDs provide extremely high IOPS and very low latency, making them ideal for performance-intensive workloads like media rendering, where temporary, fast storage for processing frames or large files is crucial.

Option C is inaccurate. Cold storage (like Google Cloud Storage Coldline or Archive classes) is the most optimal and cost-effective solution for data archiving, which involves storing data that is infrequently accessed but needs to be retained for long periods. Local SSDs are expensive and ephemeral for archiving purposes.

Option D is accurate. Due to their exceptional IOPS and minimal latency, Local SSDs are an excellent choice for serving as a high-performance cache. They can temporarily store frequently accessed data close to the compute instance, significantly reducing read/write times.

Option E is inaccurate. Preemptible VMs are the appropriate and cost-effective choice for batch jobs, as these jobs are fault-tolerant and can tolerate interruptions, leveraging the lower cost of preemptible instances. Local SSDs are about high performance, not the transient nature of batch jobs.

Question 27: Diagnosing Production Code Issues with Logging and Snapshotting

An issue has been reported in the code deployed in the production environment. To diagnose this issue, your developer requires injecting a new logging statement and taking a snapshot of the state of the running application.

How can this be accomplished?

• Cloud Logging B. Cloud Monitoring C. Cloud Trace D. Cloud Debugger

Correct Answer: D

Elucidation:

Option A is inaccurate. Cloud Logging helps in the real-time management and analysis of logs. While you could add logging statements with other tools and view them here, Cloud Logging itself doesn’t offer the capability to inject new statements into running production code or take snapshots of its state.

Option B is inaccurate. Cloud Monitoring assists in observing the health, availability, and performance of infrastructure and configured applications by generating useful metrics. It focuses on performance and health metrics, not direct code debugging.

Option C is inaccurate. Cloud Trace is a Google Cloud offering that aids in identifying production performance bottlenecks by collecting latency data from applications. It’s for performance analysis, not for injecting code or taking snapshots of application state.

Option D is accurate. Cloud Debugger is precisely designed for this scenario. It allows developers to inspect the state of a running application by taking snapshots of variable values and to inject new logging statements without stopping or redeploying the application. This is invaluable for diagnosing issues in production environments.

Question 28: Invalid Method for Connecting to Google Cloud Services and Resources

Which of the below-listed ways cannot be used to connect to the services and resources hosted in the Google Cloud Platform?

• Cloud SDK B. Cloud Shell C. Google Cloud Console D. Google Management Console

Correct Answer: D

Elucidation:

There are three primary methods to interact with and connect to services and resources hosted in the Google Cloud Platform:

• Google Cloud Console: A web-based graphical user interface.
• Command Line Interface (CLI): This includes both the Cloud SDK (which provides the gcloud command-line tool) and Cloud Shell (a browser-based shell environment with the Cloud SDK pre-installed).
• Client Libraries: Programming language-specific libraries for programmatic interaction.

«Google Management Console» is an invalid option; there is no such distinct product or interface name in Google Cloud.

Option A is incorrect as Cloud SDK is a fundamental and excellent way to interact and connect with services and resources hosted in the Google Cloud Platform via the command line.

Option B is incorrect as Cloud Shell provides a browser-based command-line environment with the Cloud SDK already configured, making it an excellent way to interact with GCP resources.

Option C is incorrect as Google Cloud Console is the primary web-based graphical interface for managing Google Cloud resources.

Option D is correct as «Google Management Console» is an invalid option and does not refer to any legitimate way to interact with Google Cloud Platform services.

Question 29: Deployment Area for Fault-Tolerant, Highly Available Applications in a Single Region

You are tasked with deploying applications to be fault-tolerant and highly available. Since the customers are based only in India, you plan to use only one region.

Which deployment area within a region would you use to deploy the applications to achieve this?

• Zone B. Datacenter C. Sub-Region D. Datazone

Correct Answer: A

Elucidation:

Option A is accurate. Zones are distinct, isolated deployment areas within a single Google Cloud region. By deploying applications across multiple Zones within a region, you can achieve fault tolerance and high availability. If one Zone experiences an outage (e.g., due to power failure, network issues, or natural calamity), the application can continue running in other available Zones within the same region.

Option B is inaccurate. If an application is confined to a single datacenter, and that datacenter is affected by an outage (e.g., power failure or a localized disaster), the application would also become unavailable. Therefore, simply opting for a datacenter would not provide the desired fault tolerance and high availability within a region.

Option C is inaccurate. «Sub-Region» is not a standard or valid geographical division or deployment area within Google Cloud’s region and zone hierarchy.

Option D is inaccurate. «Datazone» is not a standard or valid geographical division or deployment area within Google Cloud’s region and zone hierarchy.

Question 30: Scalable, No-Maintenance, Serverless Document Database in Google Cloud

You are working on implementing a solution that requires you to use a scalable, no-maintenance, and serverless document database.

Which of the following Google Cloud products would you use?

• Firestore B. Cloud Spanner C. Memorystore D. Cloud Bigtable

Correct Answer: A

Elucidation:

Option A is accurate. Firestore is a Google Cloud product that perfectly aligns with the requirements. It is a highly scalable, fully managed (no-maintenance), and serverless NoSQL document database. It automatically scales to handle traffic, requires no server provisioning or patching, and offers real-time data synchronization.

Option B is inaccurate. Cloud Spanner is a globally distributed, relational database service that offers strong consistency and high availability. While scalable and managed, it is a relational database, not a document database, and its primary purpose is different.

Option C is inaccurate. Memorystore (specifically Memorystore for Redis or Memcached) is Google Cloud’s fully managed in-memory data store service. It is used for caching and low-latency data access, not as a primary persistent document database.

Option D is inaccurate. Cloud Bigtable is a petabyte-scale, fully managed NoSQL wide-column database service designed for large analytical and operational workloads. While scalable, it is not a document database and often requires more management than a «no-maintenance» solution like Firestore for document-oriented use cases.

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