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Microsoft DP-700 Exam Syllabus Topics:

Section	Objectives
Topic 1: Manage and monitor data solutions	- Optimize performance and reliability 1. Spark job optimization 2. Capacity and workload management in Fabric - Monitor pipelines and workloads 1. Monitor data pipeline runs 2. Configure alerts and logging
Topic 2: Develop data transformation solutions	- Data modeling and lakehouse transformation 1. Medallion architecture (Bronze/Silver/Gold) 2. Delta Lake optimization - Transform data using Spark in Fabric 1. Notebooks in Microsoft Fabric 2. PySpark data processing
Topic 3: Design and implement data ingestion solutions	- Integrate external data sources 1. Connect to Azure data services 2. Connect to on-premises and SaaS sources - Ingest batch and streaming data into Microsoft Fabric 1. Ingest streaming data using Real-Time Analytics 2. Use Dataflows Gen2 for ingestion 3. Use Pipelines for data movement
Topic 4: Secure and govern data in Microsoft Fabric	- Data governance and compliance 1. Data lineage and cataloging 2. Microsoft Purview integration - Implement data security 1. Workspace and item-level permissions 2. Row-level security and column-level security

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q13-Q18):

NEW QUESTION # 13
You have a Fabric workspace that contains a warehouse named Warehouse1. Warehouse1 contains a table named Customer. Customer contains the following data.

Answer:

Explanation:

Explanation:

NEW QUESTION # 14
You need to ensure that the authors can see only their respective sales data.
How should you complete the statement? To answer, drag the appropriate values the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 15
You have two Fabric notebooks named Load_Salesperson and Load_Orders that read data from Parquet files in a lakehouse. Load_Salesperson writes to a Delta table named dim_salesperson. Load.Orders writes to a Delta table named fact_orders and is dependent on the successful execution of Load_Salesperson.
You need to implement a pattern to dynamically execute Load_Salesperson and Load_Orders in the appropriate order by using a notebook.
How should you complete the code? To answer, drag the appropriate values the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 16
You have a Fabric workspace.
You are debugging a statement and discover the following issues:
You need to resolve the issues. The solution must ensure that the data types of the results are retained. The results can contain blank cells.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 17
You have a Fabric workspace named WS1 that is connected to the main branch of an Azure DevOps Git repository. WS1 contains a lakehouse a notebook and a pipeline.
Two data engineer must update the notebook and people concurrently for separate features.
You need to configure version control to support isolated feature development and controlled integration into the main branch.
The solution must meet the following requirements:
Prevent one engineer's reviewed workspace changes from affecting the other engineer workspace.
Support a review before changes are integrated into the main branch.
Track changes to the Fabric items in Git.
How should you configure the development workflow? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 18
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