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Microsoft DP-700 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Implement and manage an analytics solution: This section of the exam measures the skills of Microsoft Data Analysts regarding configuring various workspace settings in Microsoft Fabric. It focuses on setting up Microsoft Fabric workspaces, including Spark and domain workspace configurations, as well as implementing lifecycle management and version control. One skill to be measured is creating deployment pipelines for analytics solutions.
Topic 2
  • Monitor and optimize an analytics solution: This section of the exam measures the skills of Data Analysts in monitoring various components of analytics solutions in Microsoft Fabric. It focuses on tracking data ingestion, transformation processes, and semantic model refreshes while configuring alerts for error resolution. One skill to be measured is identifying performance bottlenecks in analytics workflows.
Topic 3
  • Ingest and transform data: This section of the exam measures the skills of Data Engineers that cover designing and implementing data loading patterns. It emphasizes preparing data for loading into dimensional models, handling batch and streaming data ingestion, and transforming data using various methods. A skill to be measured is applying appropriate transformation techniques to ensure data quality.

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q78-Q83):

NEW QUESTION # 78
You have a Fabric workspace named Workspace1 that contains an Apache Spark job definition named Job1.
You have an Azure SQL database named Source1 that has public internet access disabled.
You need to ensure that Job1 can access the data in Source1.
What should you create?

Answer: A

Explanation:
To allow Job1 in Workspace1 to access an Azure SQL database (Source1) with public internet access disabled, you need to create a managed private endpoint. A managed private endpoint is a secure, private connection that enables services like Fabric (or other Azure services) to access resources such as databases, storage accounts, or other services within a virtual network (VNet) without requiring public internet access.
This approach maintains the security and integrity of your data while enabling access to the Azure SQL database.


NEW QUESTION # 79
You have a Fabric workspace named Workspace1.
You enable workspace monitoring for Workspace1.
You need to return records ingested during the last 540 seconds.
Which KQL filter should you use?

Answer: A

Explanation:
The correct answer is C because the requirement is specifically to identify records based on when they were ingested into the Fabric monitoring data store , rather than when a monitored job started or ended.
In KQL, ingestion_time() returns the approximate UTC datetime at which the current record was ingested and became available for querying. The datetime_diff() function uses the syntax datetime_diff(period, datetime1, datetime2) and effectively calculates the difference between datetime1 and datetime2. Therefore:
datetime_diff( ' second ' , now(), ingestion_time())
calculates how many seconds have elapsed between the record ' s ingestion time and the current time.
Filtering for values < = 540 returns records ingested within approximately the previous nine minutes.
Microsoft explicitly uses this same expression in Fabric workspace-monitoring examples for retrieving recent records. ( Microsoft Learn ) Options A and B evaluate job execution timestamps rather than ingestion recency. Option D reverses the datetime operands, which normally produces a negative elapsed-time value and therefore does not correctly represent " seconds ago. " Study Guide reference: Monitor and optimize an analytics solution # monitor Fabric workloads, workspace monitoring, KQL querying, and operational log analysis. ( Microsoft Learn )


NEW QUESTION # 80
You have a Fabric workspace named Workspace1 that contains three notebooks named notebook_01, notebook_02, and notebook_03.
You are building a new notebook in Workspace1 that will contain the following Directed Acyclic Graph (DAG) definition.

You need to modify the DAG definition to meet the following requirements:
* Ensure that notebook.01 and notebook_02 run in parallel.
* Ensure that notebook_02 only runs after the execution of notebook_03 is complete.
How should you modify the DAG definition?

Answer: B


NEW QUESTION # 81
You have a Fabric .
In Warehouse1, you create a table named DimCustomer by running the following statement.

You need to set the Customerkey column as a primary key of the DimCustomer table.
Which three code segments should you run in sequence? To answer, move the appropriate code segments from the list of code segments to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:


NEW QUESTION # 82
You are building a Fabric notebook named MasterNotebookl in a workspace. MasterNotebookl contains the following code.

You need to ensure that the notebooks are executed in the following sequence:
1. Notebook_03
2. Notebook.Ol
3. Notebook_02
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Answer: E,F


NEW QUESTION # 83
......

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