100% Pass Microsoft - DP-700 - Implementing Data Engineering Solutions Using Microsoft Fabric–Trustable Test Braindumps

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The Microsoft DP-700 certification exam is one of the valuable credentials designed to demonstrate a candidate's technical expertise in information technology. They can remain current and competitive in the highly competitive market with the DP-700 certificate. For novices as well as seasoned professionals, the Implementing Data Engineering Solutions Using Microsoft Fabric Questions provide an excellent opportunity to not only validate their skills but also advance their careers.

Microsoft DP-700 Exam Syllabus Topics:

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

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q75-Q80):

NEW QUESTION # 75
You have a Fabric workspace named Workspace1 that is connected to a GitHub repository named repo1.
Workspace1 contains the items shown in the following table.

You modify Semantic model 1, Semanticmodel2, and Report2.
You need to commit the changes to repo1.
What is the minimum number of commits you should perform?

A. 0
B. 1
C. A
D. 2

Answer: B

NEW QUESTION # 76
You need to ensure that the data engineers are notified if any step in populating the lakehouses fails. The solution must meet the technical requirements and minimize development effort.
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 77
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.
You have a KQL database that contains two tables named Stream and Reference. Stream contains streaming data in the following format.

Reference contains reference data in the following format.

Both tables contain millions of rows.
You have the following KQL queryset.

You need to reduce how long it takes to run the KQL queryset.
Solution: You change the join type to kind=outer.
Does this meet the goal?

A. No
B. Yes

Answer: A

Explanation:
An outer join will include unmatched rows from both tables, increasing the dataset size and processing time.
It does not improve query performance.

NEW QUESTION # 78
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 # 79
HOTSPOT
You have an Azure Event Hubs data source that contains weather data.
You ingest the data from the data source by using an eventstream named Eventstream1. Eventstream1 uses a lakehouse as the destination.
You need to batch ingest only rows from the data source where the City attribute has a value of Kansas. The filter must be added before the destination. The solution must minimize development effort.
What should you use for the data processor and filtering? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 80
......

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