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Microsoft 70-767 Exam Reference
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Exam 70-767: Implementing a Data Warehouse using SQL
This exam is intended for extract, transform, and load (ETL) and data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing, in addition to ETL and data warehouse implementation.
Part of the requirements for: MCSA: SQL 2016 BI Development MCSE: Data Management and Analytics
What is the duration of the 70-767 Exam
- Passing Score: 700/1000
- Length of Examination: 150 minutes
- Number of Questions: 45-60
- Format: Multiple choices, multiple answers
Reference: https://www.microsoft.com/en-us/learning/exam-70-767.aspx
How to study the 70-767 Exam
There are two main types of resources for preparation of certification exams first there are the study guides and the books that are detailed and suitable for building knowledge from ground up then there are video tutorial and lectures that can somehow ease the pain of through study and are comparatively less boring for some candidates yet these demand time and concentration from the learner. Smart Candidates who want to build a solid foundation in all exam topics and related technologies usually combine video lectures with study guides to reap the benefits of both but there is one crucial preparation tool as often overlooked by most candidates the practice exams. Practice exams are built to make students comfortable with the real exam environment. Statistics have shown that most students fail not due to that preparation but due to exam anxiety the fear of the unknown. Test4Cram expert team recommends you to prepare some notes on these topics along with it don't forget to practice Microsoft 70-767 exam dumps which have been written by our expert team, Both these will help you a lot to clear this exam with good marks.
Microsoft 070-767 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Transformation and Data Flow | - Manage slowly changing dimensions (SCD) - Implement data cleansing and transformation logic - Implement data flow tasks in SSIS |
| Securing and Maintaining Data Warehouse Solutions | - Implement authentication and authorization - Maintain backup and recovery strategies - Manage encryption and data protection |
| Designing Data Warehouse Solutions | - Design data distribution strategy in SQL Server / Azure SQL DW - Design data warehouse schema (star/snowflake) - Design data storage and partitioning strategy |
| Optimizing and Troubleshooting Data Warehouse | - Optimize query performance (indexes, distribution, partitioning) - Monitor and troubleshoot ETL processes - Manage workload performance in SQL data warehouse |
| Building and Implementing a Data Warehouse | - Load and transform data from multiple sources - Implement ETL processes using SSIS - Create and configure tables and indexes |
