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Microsoft DP-700 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	Implementing Data Engineering Solutions Using Microsoft Fabric
Exam Number:	DP-700
Exam Duration:	100-120
Certificate Validity Period:	1 year (renewable)
Available Languages:	Japanese, Spanish, Korean, English, French, Simplified Chinese, German, Portuguese (Brazil)
Related Certifications:	Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Data Engineer Associate
Exam Format:	Multiple choice, Scenario-based questions, Multiple response, Case studies
Passing Score:	700/1000
Real Exam Qty:	40-60
Exam Price:	Varies by region (approx. $165 USD)
Recommended Training:	Microsoft Fabric Documentation Microsoft Learn DP-700 Learning Path
Exam Registration:	Pearson VUE Microsoft Exams Microsoft Learn Certification Exam Page
Sample Questions:	Microsoft DP-700 Sample Questions
Exam Way:	Online proctored via Pearson VUE or in-person at authorized testing centers
Pre Condition:	No formal prerequisites, but recommended experience with Azure data services and basic data engineering concepts
Official Syllabus URL:	https://learn.microsoft.com/credentials/certifications/exams/dp-700/

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Microsoft DP-700 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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.

Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q103-Q108):

NEW QUESTION # 103
You need to recommend a method to populate the POS1 data to the lakehouse medallion layers.
What should you recommend for each layer? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
A screenshot of a computer Description automatically generated

Bronze Layer: A pipeline Copy activity
The bronze layer is used to store raw, unprocessed data. The requirements specify that no transformations should be applied before landing the data in this layer. Using a pipeline Copy activity ensures minimal development effort, built-in connectors, and the ability to ingest the data directly into the Delta format in the bronze layer.
Silver Layer: A notebook
The silver layer involves extensive data cleansing (deduplication, handling missing values, and standardizing capitalization). A notebook provides the flexibility to implement complex transformations and is well-suited for this task.

NEW QUESTION # 104
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:

Explanation:

NEW QUESTION # 105
You have a Fabric workspace that contains a takehouse and a semantic model named Model1.
You use a notebook named Notebook1 to ingest and transform data from an external data source.
You need to execute Notebook1 as part of a data pipeline named Pipeline1. The process must meet the following requirements:
* Run daily at 07:00 AM UTC.
* Attempt to retry Notebook1 twice if the notebook fails.
* After Notebook1 executes successfully, refresh Model1.
Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A. Set the Retry setting of the Notebook activity to 2.
B. Place the Semantic model refresh activity after the Notebook activity and link the activities by using the On success condition.
C. Place the Semantic model refresh activity after the Notebook activity and link the activities by using an On completion condition.
D. From the Schedule settings of Notebook1, set the time zone to UTC.
E. Set the Retry setting of the Semantic model refresh activity to 2.
F. From the Schedule settings of Pipeline1, set the time zone to UTC.

Answer: A,B,F

NEW QUESTION # 106
You are developing a data pipeline named Pipeline1.
You need to add a Copy data activity that will copy data from a Snowflake data source to a Fabric warehouse. Which option from the Settings tab of the Copy data activity must you configure?

A. Enable staging
B. Fault tolerance
C. Degree of copy parallelism
D. Enable logging

Answer: A

NEW QUESTION # 107
You have a table in a Fabric lakehouse that contains the following data.

You have a notebook that contains 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 # 108
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