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Microsoft 070-475 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implement data processing solutions | - Batch processing with distributed computing
|
| Topic 2: Develop and optimize data pipelines | - Performance tuning and scaling considerations - Data ingestion and transformation workflows |
| Topic 3: Design big data analytics solution | - Design data storage strategy using Azure data services
|
| Topic 4: Secure and monitor big data solutions | - Monitoring and troubleshooting data pipelines - Data security and access control |
Microsoft 070-475 Exam: Questions Candidates Ask
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The Microsoft Design and Implement Big Data Analytics Solutions blueprint spans 4 domains — including Design big data analytics solution, Secure and monitor big data solutions, Develop and optimize data pipelines. Study in proportion to the weightings; the complete outline above details every subtopic.
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The Microsoft Design and Implement Big Data Analytics Solutions is Microsoft's certification exam for Microsoft Certified Solutions Associate (MCSA): Data Engineering with Azure (Retired), at the Professional level. These certifications are valued precisely because they're demanding — passing one validates real capability. Related credentials include MCSA: Data Engineering with Azure, Microsoft Azure certifications (legacy MCSA track).
Microsoft Design and Implement Big Data Analytics Solutions Sample Questions:
You have an Apache Hadoop system that contains 5 TB of data.
You need to create queries to analyze the data in the system. The solution must ensure that the queries execute as quickly as possible.
Which language should you use to create the queries?
- A. Apache Pig
- B. Apache Hive
- C. Java
- D. MapReduce
Correct Answer: D 🗳️
You implement DB2.
You need to configure the tables in DB2 to host the data from DB1. The solution must meet the requirements for DB2.
Which type of table and history table storage should you use for the tables? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation
From Scenario: Relecloud plans to implement a data warehouse named DB2.
Box 1: Temporal table
From Scenario:
Relecloud identifies the following requirements for DB2:
Users must be able to view previous versions of the data in DB2 by using aggregates.
DB2 must be able to store more than 40 TB of data.
A system-versioned temporal table is a new type of user table in SQL Server 2017, designed to keep a full history of data changes and allow easy point in time analysis. A temporal table also contains a reference to another table with a mirrored schema. The system uses this table to automatically store the previous version of the row each time a row in the temporal table gets updated or deleted. This additional table is referred to as the history table, while the main table that stores current (actual) row versions is referred to as the current table or simply as the temporal table.
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
Your company has multiple databases that contain millions of sales transactions.
You plan to implement a data mining solution to identity purchasing fraud.
You need to design a solution that mines 10 terabytes (TB) of sales data. The solution must meet the following requirements:
* Run the analysis to identify fraud once per week.
* Continue to receive new sales transactions while the analysis runs.
* Be able to stop computing services when the analysis is NOT running.
Solution: You create a Cloudera Hadoop cluster on Microsoft Azure virtual machines.
Does this meet the goal?
- A. Yes
- B. No
Correct Answer: A 🗳️
Explanation: Only visible for TorrentExam members. You can sign-up / login (it's free).
You need to recommend a data analysis solution for 20,000 Internet of Things (IoT) devices. The solution must meet the following requirements:
* Each device must be identified by using its own credentials.
* Each device must be able to route data to multiple endpoints.
* The solution must require the minimum amount of customized code.
What should you recommend?
- A. Microsoft Azure IoT Hub
- B. Microsoft Azure Service Bus
- C. Microsoft Azure Event Hubs
- D. Microsoft Azure Notification Hubs
Correct Answer: C 🗳️
Users report that when they access data that is more than one year old from a dashboard, the response time is slow.
You need to resolve the issue that causes the slow response when visualizing older data. What should you do?
- A. Aggregate the older data by time, and then save the aggregated data to reference data streams.
- B. Store all of the data from the event hub in a single partition.
- C. Process the event hub data first, and then process the older data on demand.
- D. Process the older data on demand first, and then process the event hub data.
Correct Answer: A 🗳️
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