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Microsoft DP-700 Exam Syllabus Topics:

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

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q112-Q117):

NEW QUESTION # 112
You have a Fabric warehouse named Warehouse1 that contains a table named Table1. Table1 contains the following columns that store string values:
* FirstName
* Phone
* Email
You have two Microsoft Entra security groups named Group1 and Group2. The members of both groups can query Table1 and see full values for FirstName, Phone, and Email.
You need to configure Table1 to meet the following requirements:

Answer:

Explanation:

Explanation:

NEW QUESTION # 113
HOTSPOT
You are building a data loading pattern for Fabric notebook workloads.
You have the following code segment:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 114
You are building a data orchestration pattern by using a Fabric data pipeline named Dynamic Data Copy as shown in the exhibit. (Click the Exhibit tab.)

Dynamic Data Copy does NOT use parametrization.
You need to configure the ForEach activity to receive the list of tables to be copied.
How should you complete the pipeline expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 115
Exhibit.

You have a Fabric workspace that contains a write-intensive warehouse named DW1. DW1 stores staging tables that are used to load a dimensional model. The tables are often read once, dropped, and then recreated to process new data.
You need to minimize the load time of DW1.
What should you do?

A. Enable V-O-der.
B. Drop statistics.
C. Create statistics.
D. Disable V-Order.

Answer: D

NEW QUESTION # 116
HOTSPOT
You have a Fabric workspace that contains two lakehouses named Lakehouse1 and Lakehouse2. Lakehouse1 contains staging data in a Delta table named Orderlines. Lakehouse2 contains a Type 2 slowly changing dimension (SCD) dimension table named Dim_Customer.
You need to build a query that will combine data from Orderlines and Dim_Customer to create a new fact table named Fact_Orders. The new table must meet the following requirements:
Enable the analysis of customer orders based on historical attributes.
Enable the analysis of customer orders based on the current attributes.
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:

Explanation:

NEW QUESTION # 117
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