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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
Related Certifications:	Microsoft Certified: Fabric Data Engineer Associate
Certificate Validity Period:	12 Months (Renewable annually)
Exam Duration:	100 minutes
Exam Format:	Multiple choice, Drag-and-drop, Case studies, Scenario-based
Real Exam Qty:	50 - 60
Passing Score:	700 / 1000
Exam Price:	$165 USD
Available Languages:	Portuguese (Brazil), Japanese, Spanish, French, English, Simplified Chinese, German
Sample Questions:	Microsoft DP-700 Sample Questions
Exam Way:	Online proctored or Test center
Pre Condition:	No specific prior certification required.
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-700/

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Microsoft DP-700 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 (Q56-Q61):

NEW QUESTION # 56
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:

Explanation:

NEW QUESTION # 57
You have a Fabric workspace that contains an eventhouse and a KQL database named Database1. Database1 has the following:
Policy1 sends data from Table1 to Table2.
The following is a sample of the data in Table2.

Recently, the following actions were performed on Table1:
You plan to load additional records to Table2.
Which two records will load from Table1 to Table2? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Answer: A,B

Explanation:
Changes to Table1 Structure:
Impact of Changes:
Record B:
Accepted because it fully matches Table2's structure and data types.
Record D:
Accepted because it fully matches Table2's structure and data types.

NEW QUESTION # 58
You need to ensure that usage of the data in the Amazon S3 bucket meets the technical requirements.
What should you do?

A. Create a workspace identity and enable high concurrency for the notebooks.
B. Create a workspace identity and use the identity in a data pipeline.
C. Create a shortcut and ensure that caching is disabled for the workspace.
D. Create a shortcut and ensure that caching is enabled for the workspace.

Answer: C

Explanation:
To ensure that the usage of the data in the Amazon S3 bucket meets the technical requirements, we must address two key points:
Minimize egress costs associated with cross-cloud data access: Using a shortcut ensures that Fabric does not replicate the data from the S3 bucket into the lakehouse but rather provides direct access to the data in its original location. This minimizes cross-cloud data transfer and avoids additional egress costs.
Prevent saving a copy of the raw data in the lakehouses: Disabling caching ensures that the raw data is not copied or persisted in the Fabric workspace. The data is accessed on-demand directly from the Amazon S3 bucket.

NEW QUESTION # 59
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. From the Schedule settings of Pipeline1, set the time zone to UTC.
B. From the Schedule settings of Notebook1, set the time zone to UTC.
C. Place the Semantic model refresh activity after the Notebook activity and link the activities by using the On success condition.
D. Place the Semantic model refresh activity after the Notebook activity and link the activities by using an On completion condition.
E. Set the Retry setting of the Semantic model refresh activity to 2.
F. Set the Retry setting of the Notebook activity to 2.

Answer: A,C,F

NEW QUESTION # 60
You have a Fabric F32 capacity that contains a workspace. The workspace contains a warehouse named DW1 that is modelled by using MD5 hash surrogate keys.
DW1 contains a single fact table that has grown from 200 million rows to 500 million rows during the past year.
You have Microsoft Power BI reports that are based on Direct Lake. The reports show year-over-year values.
Users report that the performance of some of the reports has degraded over time and some visuals show errors.
You need to resolve the performance issues. The solution must meet the following requirements:
Provide the best query performance.
Minimize operational costs.
Which should you do?

A. Modify the surrogate keys to use a different data type.
B. Change the MD5 hash to SHA256.
C. Create views.
D. Increase the capacity.C Enable V-Order

Answer: A

Explanation:
In this case, the key issue causing performance degradation likely stems from the use of MD5 hash surrogate keys. MD5 hashes are 128-bit values, which can be inefficient for large datasets like the 500 million rows in your fact table. Using a more efficient data type for surrogate keys (such as integer or bigint) would reduce the storage and processing overhead, leading to better query performance. This approach will improve performance while minimizing operational costs because it reduces the complexity of querying and indexing, as smaller data types are generally faster and more efficient to process.

NEW QUESTION # 61
......

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