Pass 70-467 MCSE Certification Exam Fast

70-467 Exam Has Been Retired

This exam has been replaced by Microsoft with new exam.

Microsoft 70-467 Exam Details

The Microsoft 70-467 exam touches on the designing of solutions for Business Intelligence with Microsoft SQL Server. It recognizes the importance of those dealing with BI infrastructure and its design.

Potential Candidates

This test captures the specialists’ needs of BI architects, whose responsibility includes working out the overall design of BI infrastructure and its relationship to other systems of data being used.

Associated Certification

The MCSE: Data Management and Analytics is what exam-takers come about when they pass 70-467 test. They can select it from other tests indicated for this certificate after the completion of at least one of the requisite certificates required by the vendor.

Exam Details

70-467 test will likely bear between 40 and 60 questions, where all items are in diversified styles. One is likely to encounter MCQs and others including best answer, active screen, build lists, case studies, short answer, and more. For the registration process, the current fee amounts to be $165. The passing score should start from 700 points for one to move to the certification stage. Also, it’s important to mention that such an exam will be expiring on the 31st, January 2021.

Topics to Expect in 70-467 Exam

There are topics fashioned for the Microsoft 70-467 test, which include:

  • Planning BI Infrastructure;
  • Designing a Reporting Solution;
  • Creating BI Data Models;
  • Defining an ETL Solution;
  • Outlining BI Infrastructure.

Each domain includes varying knowledge fields and skill areas to pay attention to. Their details are what is outlined below. So, the first objective is about the following:

  • Planning for performance

    The interests of this field include batch procedures like ETL (Extract, Transform, Load) in SSIS (SQL Server Integration Services)/SQL & processing phase in Analysis Services, proactive caching, performance consequences associated with named queries, analyzing and optimizing performance, Multidimensional Expression (MDX) & Data Analysis Expression (DAX) queries, creating aggregations, and others.

  • Devising for scalability

    This part concerns changing binding options aimed at partitions, Multidimensional OLAP (MOLAP), Hybrid OLAP (HOLAP), and Relational OLAP (ROLAP) storage modes.

  • Outlining and managing upgrades

    This section talks about planning management for BI solutions.

  • Maintaining server health

    This subdomain regards the designing of a strategy for automation.

The topic in reference to Designing a Reporting Solution goes further into the following:

  • Creating a reporting services dataset

    Such an area focuses on designing proper parameters for queries, creating proper SQL queries, defining proper DAX queries aimed at an application, extracting data, managing data rights & security, monitoring data sets by using stored procedures and balancing query-based processing versus filter-based processing.

  • Managing Excel Services/SharePoint reporting

    This sector reveals more about the configuration of data refresh schedules aimed at PowerPivot, which is published to SharePoint, getting into the info for BI to SharePoint, using SharePoint in accomplishing administrative tasks for BI, installing and configuring Power View, and publishing PowerPivot & Power View to SharePoint.

  • Designing a strategy for acquisition

    Such a domain captures matters to do with data sources, incremental data, relationships, and dependencies occurring between data sources, determining who is to access which type of data, what data to retain and for how long, and more.

  • Planning & managing configuration for reporting services

    Tasks to cover here emphasize choosing the requirements for proper reporting services, which include native modes in addition to the SharePoint one.

  • Designing solution architecture for BI Reporting

    It’s about linked drill-down, sub & drill-through reports, report migration strategies, accessing report services API, code-behind strategies, Report Builder, when Reporting Services (RS) are to be used, BI tools for reporting, subscription strategy, and others.

For the sake of the third area tested in exam 70-467, this is what candidates need to get adapted to:

  • Designing the data warehouse

    This portion includes data models optimized for reporting, an enterprise data warehouse (EDW), surrogate as well as natural keys, designing, implementing and maintaining a data warehouse with SQL Server, Index Views, column store indexes, best practices for design, incremental data load, and more.

  • Outlining a schema

    This part concerns multidimensional modeling that begins from a snowflake or star schema and designing relational modeling aimed at a Data Mart.

  • Executing cube architecture

    Such an area digs into partitioning cubes and building aggregation strategies for separate partitions, designing data models, selecting proper partitioning strategy aimed at data warehouse & cube, aggregation methods, and performance tuning a MOLAP cube, among others.

  • Outlining fact tables

    It concerns designing a data warehouse that is capable of supporting many to many dimensions using factless fact tables.

  • Implementing BI semantic models

    This subtopic delves into planning for multidimensional cubes, supporting a many-to-many relationship between tables, and multidimensional & tabular.

  • Creating MDX calculations

    Such a tested area looks into MDX queries, MDX structures & common functions, calculated members, and others.

Here are subdomains to review for the fourth objective regarding Creating ETL Solutions:

  • Designing package execution for SSIS

    Such a domain spins around a new project deployment model, passing values during execution time, optimizing execution, plan for full loads versus incremental loads, and optimal processing strategy, among others.

  • Planning to deploy SSIS solutions

    This part covers package deployment to a different server having varying security requirements, securing services packages for integration, aggregation operations, automating SSIS deployment, and more.

  • Defining package configurations aimed at SSIS packages

    This is about avoiding repetition of configuration information that is entered in SSIS packages as well as using configuration files.

Concerning the domain for the Microsoft 70-467 exam about Outlining BI Infrastructure, candidates will analyze the following areas:

  • Making a security strategy

    Areas of focus here include security & impersonation configuration, Dynamic Dimension Security, security aimed at extranet environments, Kerberos security, authentication mechanisms, designing roles for calculated measures, security tests, secure solutions, and others.

  • Creating a strategy for SQL partitioning

    This part concerns choosing the appropriate strategy for partitioning regarding data warehouse & cube, implementing parallel load to fact tables, and using data compression.

  • Outlining a strategy for high availability & disaster recovery

    Under this topic, candidates look at designing a strategy for recovery, backing up and restoring SSAS databases, backing up and restoring SSRS databases, moving and restoring SSIS catalog, and designing an AlwaysON solution.

  • Designing a strategy for logging & auditing

    The tasks included here focus on designing new logging infrastructure for SSIS, validating data balancing & reconciling correctly.

Career Prospects, Job Posts, and Salary

Currently and in the future, the prospects of specialists with data analytics are on the rise and will keep rising. As of now, more companies are adopting analytics technologies like BI and even big data. These organizations are rushing to fill positions like a BI architect, BI developer, data analyst, and database engineer as they need experts to assist them in getting insights for their businesses. In fact, they are willing to compensate them well for their skills. BI architects, for example, earn a high salary of around $113k based on what PayScale has discovered.

What to Do after MCSE?

After enriching your resume with the MCSE: Data Management and Analytics, you may wish to look into taking further action to expand your skills. There are various certifications by various vendors other than Microsoft and whose technologies you may wish to consider diving into. Your effort in diversifying your skills with different technologies is going to pay handsomely.