Curriculum For This Course
Video tutorials list
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Intorduction
Video Name Time 1. Course Structure 1:56 2. Making the Most of This Course 1:28 3. Provisioning a Trial Snowflake Account - Hands-on 6:50 -
Snowflake Features & Architecture
Video Name Time 1. Snowflake Features & Architecture Introduction 0:56 2. What is Snowflake? 9:07 3. Multi-cluster Shared Data Architecture 6:14 4. Storage Layer Overview 3:18 5. Query Processing Layer Overview 3:57 6. Services Layer Overview 2:41 7. Snowflake Editions 2:12 8. Snowflake Object Model 3:33 9. Organizations, Accounts, Databases & Schemas 7:37 10. Table & View Types 5:39 11. Databases, Schemas, Tables & Views - Hands-on 7:33 12. User Defined Functions (UDFs) 7:48 13. Stored Procedures 5:08 14. UDFs, External Functions & Stored Procedures - Hands-on 5:38 15. Sequences 3:08 16. Tasks & Streams 6:52 17. Billing Overview 8:06 18. User Interfaces - Hands-on 7:19 19. SnowSQL - Hands-on 3:40 20. Connectivity: Connectors, Drivers & Partnered Tools 5:12 21. Connectivity: Snowflake Scripting 5:11 22. Snowpark 5:15 -
Account Access & Security
Video Name Time 1. Account Access & Security Introduction 0:51 2. Access Control Overview 4:01 3. Roles 5:01 4. Privileges 2:27 5. Access Control - Hands-on 7:59 6. User Authentication 2:04 7. Multi-factor Authentication (MFA) 3:02 8. Federated Authentication 3:28 9. Key Pair Authentication, OAuth & SCIM 2:45 10. Network Policies 3:14 11. Data Encryption 6:57 12. Column Level Security 5:32 13. Row Level Security 3:37 14. Column and Row Level Security - Hands-on 4:56 15. Secure Views - S3L15 2:19 16. Account Usage & Information Schema 5:51 -
Performance Concepts: Virtual Warehouses Introduction
Video Name Time 1. Performance Concepts: Virtual Warehouses Introduction 0:44 2. Virtual Warehouse Overview 2:56 3. Virtual Warehouse State & Properties 3:39 4. Virtual Warehouse Overview - Hands-on 5:19 5. Virtual Warehouse Sizing and Billing 4:23 6. Resource Monitors 3:06 7. Compute Monitoring & Resource Monitors - Hands-on 5:29 8. Multi-cluster Warehouses 7:33 -
Performance concepts
Video Name Time 1. Query performance analysis tools - Hands-on 7:26 2. SQL Tuning 7:46 3. Caching 4:52 4. Caching - Hands-on 6:10 5. Materialized Views 4:17 6. Clustering 5:57 7. Automatic Clustering 6:07 8. Clustering & Pruning - Hands-on 5:15 9. Search Optimization Service - S5L9 2:45 -
Data Loading & Unloading
Video Name Time 1. Data Loading and Unloading Introduction 0:40 2. Simple Data Loading Methods: INSERT & UI - Hands-on 4:18 3. Stages 8:49 4. Stages - Hands-on 5:28 5. Bulk Loading - COPY INTO TABLE command 7:26 6. File Formats 2:34 7. Bulk Loading - Hands-on 5:08 8. Snowpipe 8:25 9. Data Unloading 5:28 10. Semi-structured Overview 6:09 11. Loading and Unloading Semi-structured Data 5:28 12. Accessing Semi-structured Data 4:05 13. Semi-structured Functions 3:29 14. Semi-structured Data - Hands-on 7:34 -
Data Transformtions
Video Name Time 1. Data Transformations Introduction 0:24 2. Summary of Snowflake Functions 4:51 3. Estimation Functions 6:59 4. Table Sampling 2:52 5. Unstructured File Functions 6:07 6. Directory Tables 2:39 7. File Support REST API 2:14 -
Storage, Data Protection & Data Sharing
Video Name Time 1. Storage, Data Protection & Data Sharing Introduction 0:33 2. Storage Layer Overview 2:04 3. Micro-partitions 4:58 4. Time Travel & Fail-Safe 5:57 5. Time Travel - Hands-on 5:39 6. Cloning 5:02 7. Cloning - Hands-on 2:36 8. Replication 2:30 9. Storage Billing 3:07 10. Secure Data Sharing 8:31 11. Secure Data Sharing - Hands-on 6:16 12. Data Marketplace Hands-on 3:01 13. Data Exchange 01:10
SnowPro Core Certification Training Video Course Intro
Certbolt provides top-notch exam prep SnowPro Core certification training video course to prepare for the exam. Additionally, we have Snowflake SnowPro Core exam dumps & practice test questions and answers to prepare and study. pass your next exam confidently with our SnowPro Core certification video training course which has been written by Snowflake experts.
SnowPro Core Certification Training: Your Complete Guide to Mastering Snowflake
Snowflake has rapidly emerged as one of the leading cloud-based data warehousing platforms, offering scalable, high-performance solutions for businesses of all sizes. The SnowPro Core Certification is the premier credential for professionals who want to demonstrate their expertise in Snowflake's architecture, functionality, and best practices. Whether you are a data analyst, data engineer, or IT professional, this certification can help you validate your knowledge and elevate your career opportunities in the growing field of cloud data management. The certification focuses on core Snowflake concepts such as data storage, processing, security, and performance optimization, equipping professionals with the practical and theoretical knowledge required to succeed in cloud-based data management roles. By pursuing this certification, learners gain a deep understanding of Snowflake’s multi-cluster architecture, virtual warehouses, and the tools available for efficient data integration and analytics.
Cloud computing has transformed how organizations manage and analyze data, and Snowflake stands out due to its unique architecture that separates storage from compute, enabling flexibility and cost efficiency. Organizations that adopt Snowflake benefit from faster query performance, simplified data sharing, and seamless scalability. Earning the SnowPro Core Certification demonstrates not only familiarity with Snowflake's technical features but also an understanding of how to leverage these features to meet business requirements effectively. As businesses continue to migrate to cloud-based infrastructures, certified Snowflake professionals are in high demand, making this certification a valuable investment for individuals looking to enhance their career prospects and contribute meaningfully to data-driven organizations.
The SnowPro Core Certification serves as a foundation for further specialized Snowflake certifications, such as the Advanced Architect, Data Engineer, and Application Developer tracks. It validates knowledge of core features, capabilities, and best practices, making it an essential credential for professionals who want to establish credibility in the field of cloud data warehousing. With comprehensive training, hands-on exercises, and exam-focused study strategies, learners can confidently prepare for the certification exam and acquire skills that are directly applicable to real-world projects. From understanding Snowflake’s micro-partitioning and automatic clustering features to mastering secure data sharing and access controls, this training equips professionals with the tools they need to succeed in a modern data environment.
Course Overview
The SnowPro Core Certification training is designed to provide a comprehensive understanding of Snowflake’s architecture, features, and functionality. It covers all aspects of the platform necessary to pass the certification exam and gain practical expertise in managing data in the cloud. The course emphasizes both theoretical knowledge and hands-on experience, ensuring that learners are equipped with the skills required to implement Snowflake solutions efficiently. By completing this course, participants will gain insights into Snowflake’s unique approach to data warehousing, its cloud-native capabilities, and strategies for optimizing performance, security, and cost management.
The course is structured to gradually build knowledge, starting from the basics of cloud data warehousing to advanced concepts such as data sharing, scaling strategies, and performance tuning. Learners will explore how Snowflake integrates with a variety of tools and services, including ETL pipelines, BI platforms, and analytics solutions. Practical exercises simulate real-world scenarios, helping learners apply concepts such as creating databases, managing schemas, loading and transforming data, and executing queries efficiently. Additionally, the course provides guidance on exam preparation, covering sample questions, key topics, and study techniques to enhance retention and readiness.
Throughout the training, emphasis is placed on understanding the core architecture of Snowflake, including virtual warehouses, micro-partitioning, and query optimization. Participants will learn how Snowflake handles concurrency, scalability, and data storage, as well as the principles of data governance and security. By combining theoretical lessons with practical demonstrations, the course ensures a deep understanding of both the “how” and the “why” of Snowflake operations. This approach prepares learners not only for certification success but also for applying Snowflake effectively in professional settings.
What You Will Learn from This Course
Understanding Snowflake’s cloud-based data warehousing architecture and core components
Configuring virtual warehouses, databases, and schemas for optimal performance
Loading, transforming, and querying structured and semi-structured data efficiently
Managing security, roles, and access control to ensure compliance and data protection
Implementing best practices for performance tuning, clustering, and scaling workloads
Integrating Snowflake with ETL pipelines, BI tools, and analytics platforms
Leveraging Snowflake’s time travel, cloning, and zero-copy features for data management
Understanding Snowflake’s data sharing capabilities and secure collaboration features
Preparing effectively for the SnowPro Core Certification exam with practical strategies
Learning Objectives
The learning objectives of this SnowPro Core Certification training are designed to provide measurable outcomes that ensure participants gain both knowledge and practical skills. By the end of the course, learners will be able to:
Explain Snowflake’s architecture and key design principles, including separation of storage and compute
Demonstrate the ability to create and manage Snowflake databases, schemas, tables, and views
Load and transform data using Snowflake’s native tools, SQL commands, and integration with external ETL systems
Apply performance optimization techniques such as clustering, partitioning, and query tuning
Implement comprehensive security measures, including roles, privileges, masking policies, and access control
Utilize Snowflake features for data sharing, replication, and cross-region access
Analyze and monitor workloads using Snowflake’s query history, resource monitors, and performance dashboards
Develop practical skills to handle real-world business scenarios using Snowflake efficiently
Prepare for the SnowPro Core Certification exam with confidence, understanding the exam format, question types, and key topic areas
Requirements
Before enrolling in the SnowPro Core Certification training, participants should have a foundational understanding of the following:
Basic knowledge of databases and SQL, including querying, joins, and aggregations
Familiarity with cloud computing concepts and cloud-based services
Understanding of data modeling and basic data warehouse concepts
Experience with business intelligence tools or analytics platforms is advantageous but not mandatory
Willingness to engage with hands-on exercises and practice scenarios
No prior experience with Snowflake is required, making this course suitable for beginners who are committed to learning cloud-based data warehousing, as well as professionals looking to formalize their knowledge and achieve certification.
Course Description
The SnowPro Core Certification course provides a detailed exploration of Snowflake’s platform, emphasizing both practical and conceptual learning. The training begins with an introduction to cloud data warehousing and Snowflake’s multi-cluster shared data architecture. Participants will learn how Snowflake separates storage and compute to achieve performance, concurrency, and scalability. The course then progresses into core features, including virtual warehouses, micro-partitions, and the automatic clustering engine. Learners explore how to load, transform, and query both structured and semi-structured data efficiently, ensuring data is readily available for analytics and business intelligence purposes.
Security and governance are key components of the course, highlighting Snowflake’s role-based access control, masking policies, and data encryption mechanisms. Participants also learn how to leverage time travel and cloning features for data recovery and versioning. Advanced topics such as performance optimization, workload scaling, and resource monitoring provide practical insights into running Snowflake in production environments. In addition, the course covers Snowflake integration with various ETL, analytics, and data science tools, demonstrating real-world applications and best practices. Throughout the course, exercises, labs, and scenario-based examples reinforce learning, ensuring participants gain confidence in applying Snowflake skills effectively.
The course also emphasizes exam preparation strategies, including understanding the SnowPro Core Certification exam structure, question types, and important topic areas. Participants are guided on study techniques, practice tests, and methods to identify knowledge gaps. This comprehensive approach ensures learners are not only prepared for certification but also capable of applying Snowflake expertise in professional environments to solve complex data challenges.
Target Audience
This training is designed for a wide range of professionals who want to gain expertise in Snowflake and achieve certification:
Data engineers responsible for designing, building, and maintaining data pipelines in Snowflake
Data analysts who want to efficiently query, analyze, and report on cloud-based datasets
Database administrators seeking to manage Snowflake databases, roles, and access control
Business intelligence professionals who need to integrate Snowflake with analytics and reporting tools
IT professionals interested in cloud data warehousing, security, and performance optimization
Anyone preparing for the SnowPro Core Certification exam and seeking structured guidance
The course accommodates both beginners and professionals with some database or cloud experience, making it accessible while ensuring depth for more advanced learners.
Prerequisites
To maximize learning outcomes, participants are encouraged to have:
Fundamental understanding of SQL and database concepts
Basic familiarity with cloud computing, including storage, compute, and networking concepts
Awareness of data modeling techniques such as star schema, snowflake schema, and normalization
Familiarity with analytics tools and dashboards to contextualize data queries and reporting
Curiosity and commitment to complete hands-on labs and practice exercises
While these prerequisites are helpful, the course is structured to provide foundational knowledge, making it suitable for learners who are new to Snowflake or cloud-based data warehousing.
Course Modules/Sections
The SnowPro Core Certification training program is divided into comprehensive modules designed to help learners progress from foundational knowledge to advanced technical expertise. Each module builds on the previous one, ensuring a structured learning experience that promotes both understanding and hands-on practice. The training curriculum mirrors the actual SnowPro Core Certification exam blueprint, covering Snowflake’s architecture, features, and real-world application scenarios. By following these modules, learners gradually develop the confidence and technical competence to manage Snowflake environments effectively and efficiently.
The introductory module begins with an overview of Snowflake’s architecture and how it differentiates from traditional data warehousing solutions. Learners explore the multi-cluster shared data architecture and gain an understanding of how compute, storage, and cloud services interact within Snowflake. This foundational section ensures that every participant grasps the essential mechanics of the platform before advancing to more complex topics.
Subsequent modules focus on the core functionalities of Snowflake. Learners engage with topics such as data loading and unloading, schema design, table creation, and query execution. These sections emphasize best practices for handling structured and semi-structured data formats, including JSON, Parquet, and Avro. Participants learn how Snowflake’s automatic clustering and micro-partitioning optimize performance without manual intervention, a key concept required for mastering the certification exam.
The next set of modules delves into data security, governance, and compliance. Snowflake’s robust security features, including data encryption, masking policies, and network policies, are covered in depth. Learners also explore how to implement role-based access control and manage users and privileges effectively. Understanding these concepts is critical, as Snowflake emphasizes secure data sharing and compliance with industry standards.
Performance optimization and cost management form another major module. This section teaches how to analyze query performance, configure virtual warehouses, monitor resource utilization, and reduce compute costs. Learners gain practical knowledge of Snowflake’s query profiler, caching mechanisms, and warehouse scaling strategies, all of which are vital for ensuring efficient operations in production environments.
The final modules of the course are dedicated to advanced features and exam preparation. Participants explore time travel, cloning, zero-copy data sharing, and cross-region replication. These topics demonstrate Snowflake’s flexibility and scalability in handling complex data workloads. The training concludes with exam-focused sessions that include mock tests, practice questions, and review discussions to help learners consolidate their understanding and prepare effectively for the SnowPro Core Certification exam.
Key Topics Covered
The SnowPro Core Certification training is comprehensive in scope, addressing all critical aspects of Snowflake’s technology and ecosystem. Among the core topics covered, the course emphasizes Snowflake’s architecture, including the separation of compute and storage layers and how this design impacts performance and scalability. Participants gain a clear understanding of virtual warehouses, query execution, and caching behavior, which form the foundation of Snowflake’s high-performance capabilities.
Another major topic area is data loading and transformation. Learners discover how to ingest data from multiple sources, including on-premises databases, cloud storage services, and third-party applications. The training demonstrates how to use Snowflake’s COPY command, Snowpipe, and external tables to handle continuous data ingestion efficiently. Participants also gain hands-on experience in transforming and preparing data using SQL functions, stored procedures, and user-defined functions.
Data security and governance are given special attention in the course, ensuring learners understand the importance of maintaining compliance and control in a cloud data warehouse. Topics such as encryption, key management, access control, and network policies are discussed in detail. Learners also study Snowflake’s secure data sharing capabilities, which enable controlled access to datasets without physically moving or duplicating data.
Performance tuning is another critical area covered in the course. Learners explore how to identify bottlenecks, manage workloads, and use Snowflake’s monitoring tools to track and optimize query performance. They gain insights into how Snowflake handles concurrency and elasticity through its multi-cluster architecture, allowing seamless scalability even during peak workloads.
In addition to technical concepts, the course covers Snowflake’s ecosystem integration. Learners understand how to connect Snowflake with ETL tools, business intelligence platforms, and data science environments. Real-world examples illustrate how Snowflake fits into modern data pipelines and analytics workflows, providing a complete understanding of its practical applications.
The course also dedicates time to exam preparation, guiding learners through the SnowPro Core Certification exam structure, objectives, and types of questions. Participants learn effective study techniques, including how to focus on key exam domains and manage time during the test. This structured approach ensures readiness for certification while reinforcing real-world competence.
Teaching Methodology
The teaching methodology adopted in this course combines theoretical learning with hands-on practice to ensure participants not only understand Snowflake’s concepts but can apply them effectively. The instructional approach emphasizes experiential learning through practical exercises, case studies, and interactive labs that simulate real-world data management challenges. Each topic is introduced with conceptual explanations followed by demonstrations and guided exercises, allowing learners to bridge the gap between knowledge and execution.
Instructors employ scenario-based teaching to relate Snowflake concepts to common business problems. For example, learners might explore how to optimize warehouse performance for a company experiencing high query loads or how to design secure data-sharing models for multi-department organizations. These scenarios encourage critical thinking and problem-solving, key skills for both the certification exam and professional environments.
The course also integrates continuous assessment through quizzes, lab exercises, and practice questions that help learners gauge their progress. Detailed feedback and explanations accompany each exercise to reinforce understanding and correct misconceptions. In addition, participants gain access to sandbox environments where they can experiment with Snowflake features at their own pace, deepening their confidence in working independently on the platform.
Instructor-led sessions are supplemented by recorded videos, reading materials, and downloadable guides. This blended learning format allows flexibility for participants to learn according to their schedules while maintaining consistent progress. Peer discussions and group problem-solving sessions further enhance engagement, allowing learners to share insights and collaborate on solutions to complex Snowflake use cases.
By the end of the course, this hands-on methodology ensures that participants can perform Snowflake operations confidently, from setting up accounts and loading data to optimizing queries and implementing security measures. The combination of conceptual clarity and applied learning creates a strong foundation for both certification success and workplace readiness.
Assessment & Evaluation
Assessment in the SnowPro Core Certification training program is designed to reinforce learning outcomes and prepare participants for the actual certification exam. The evaluation process is continuous, combining quizzes, assignments, and mock tests that assess both theoretical understanding and practical application. Each module concludes with a knowledge check that includes multiple-choice questions and scenario-based challenges modeled after real exam questions. These assessments help learners identify areas of strength and those that require additional focus.
Hands-on lab exercises play a crucial role in the evaluation process. Participants are required to complete tasks such as loading data, configuring warehouses, and implementing access controls, ensuring they gain tangible experience with Snowflake’s interface and command structure. The feedback provided after each lab helps learners understand best practices and correct common mistakes. This experiential evaluation ensures that learners can apply Snowflake skills effectively rather than simply memorizing concepts.
Midway through the course, a comprehensive assessment simulates the format of the SnowPro Core Certification exam. This practice test evaluates readiness and familiarizes participants with the timing, question patterns, and difficulty level of the actual exam. Instructors provide detailed analysis and personalized feedback to help learners strengthen weak areas before proceeding to advanced topics.
Evaluation also includes participation in group discussions and peer learning activities. Learners share insights, troubleshoot issues collaboratively, and discuss alternative approaches to solving data challenges. This interactive evaluation method fosters a deeper understanding of Snowflake’s flexibility and real-world adaptability.
At the end of the training, a final assessment combines all elements—knowledge checks, labs, and mock tests—to measure overall competency. Successful completion of the course indicates that the participant is well-prepared to attempt the SnowPro Core Certification exam with confidence and to apply Snowflake expertise in professional environments.
Benefits of the Course
Completing the SnowPro Core Certification training offers numerous benefits for both individuals and organizations. For learners, the primary advantage lies in the recognition of being Snowflake-certified, a credential that significantly enhances career prospects in data engineering, analytics, and cloud architecture. Employers increasingly seek professionals with validated skills in cloud data platforms, and this certification serves as a trusted benchmark for technical proficiency.
The course equips participants with a deep understanding of Snowflake’s core functionalities, allowing them to design, implement, and manage data solutions more efficiently. This knowledge translates into improved performance in professional roles, whether managing ETL pipelines, optimizing queries, or ensuring data security and compliance. Additionally, the hands-on experience gained during the course builds practical confidence, enabling learners to contribute effectively to real-world data projects.
Another major benefit is the competitive edge it provides in the job market. Certified Snowflake professionals often command higher salaries and have access to more diverse career opportunities across industries such as finance, healthcare, retail, and technology. The course also fosters problem-solving and analytical thinking skills that are applicable beyond Snowflake, making participants valuable assets in broader data management and analytics roles.
From an organizational perspective, training employees in Snowflake best practices enhances operational efficiency, reduces costs, and ensures secure and compliant data management. Teams that understand Snowflake’s capabilities can implement scalable data architectures and derive insights more rapidly, driving better business decisions. Overall, the SnowPro Core Certification training delivers lasting professional value and contributes to both individual and enterprise growth.
Course Duration
The SnowPro Core Certification training typically spans six to eight weeks, depending on the learning format and participant pace. In instructor-led versions, sessions are conducted several times per week, combining lectures, practical exercises, and review discussions. For self-paced learners, the course materials and labs are available on-demand, allowing flexibility to progress at a comfortable speed while maintaining consistent progress through the modules.
Each week focuses on specific topics, starting with foundational concepts and gradually advancing to complex subjects like performance tuning and security implementation. Dedicated practice sessions and review periods are included to help reinforce learning and ensure comprehension before moving to subsequent modules. The flexible structure accommodates professionals balancing work and study, ensuring comprehensive coverage of all exam-relevant areas without overwhelming learners.
Tools & Resources Required
To successfully complete the training, participants require access to several essential tools and resources. A Snowflake trial or enterprise account is necessary for hands-on practice. This environment enables learners to create warehouses, databases, and schemas and to perform exercises aligned with course objectives. Additionally, learners should have a stable internet connection and a personal computer capable of running SQL-based tools and web applications.
Recommended resources include SQL client tools such as SnowSQL, DBeaver, or any preferred query interface that supports Snowflake connectivity. Access to documentation, official Snowflake guides, and the course’s supplementary reading materials is essential for reinforcing theoretical understanding. The training also provides downloadable reference sheets summarizing key commands, configurations, and exam tips.
In addition to software tools, learners benefit from access to community forums and study groups where they can discuss challenges, share resources, and collaborate on projects. Engaging with peers and instructors through these platforms enhances retention and deepens conceptual clarity. These resources collectively ensure that participants are fully prepared to leverage Snowflake effectively and to perform confidently in both the course and the certification exam.
Career Opportunities
Earning the SnowPro Core Certification opens a wide range of career opportunities in the growing domain of cloud data management. Certified professionals are in high demand across industries that rely on data-driven insights to guide strategic decisions. With organizations increasingly migrating to cloud platforms, the need for experts who can design, manage, and optimize Snowflake environments continues to grow rapidly.
Common career roles for certified individuals include data engineer, data analyst, database administrator, cloud architect, and data warehouse specialist. Each of these roles benefits from the knowledge and practical skills acquired through the training, such as query optimization, data modeling, and secure data sharing. Many professionals also transition into consulting roles, advising businesses on Snowflake adoption and best practices for cost optimization and performance enhancement.
Beyond immediate job opportunities, the certification paves the way for advanced credentials such as SnowPro Advanced Architect or Data Engineer certifications. These pathways allow professionals to specialize further and expand their expertise in Snowflake’s ecosystem. As cloud technology continues to evolve, certified Snowflake professionals will remain valuable contributors to digital transformation initiatives, making this certification a strategic investment for long-term career growth.
Enroll Today
Enrolling in the SnowPro Core Certification training is the first step toward building a strong foundation in cloud data warehousing and advancing your professional career. Whether you are new to Snowflake or looking to formalize your experience with an industry-recognized credential, this course offers the perfect balance of theory, practice, and exam preparation. The enrollment process is simple, with flexible learning options available for self-paced or instructor-led study. By joining the program, you gain access to expert instructors, interactive labs, and a community of like-minded learners dedicated to mastering Snowflake technologies. Start your learning journey today to gain the knowledge, confidence, and certification that will distinguish you as a skilled professional in the evolving world of cloud data management.
Certbolt's total training solution includes SnowPro Core certification video training course, Snowflake SnowPro Core practice test questions and answers & exam dumps which provide the complete exam prep resource and provide you with practice skills to pass the exam. SnowPro Core certification video training course provides a structured approach easy to understand, structured approach which is divided into sections in order to study in shortest time possible.
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