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Microsoft DP-600 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Implementing Analytics Solutions Using Microsoft Fabric
Exam Number:DP-600
Certificate Validity Period:1 year
Exam Format:Drag-and-drop, Multiple-choice, Case studies
Available Languages:Korean, Japanese, Chinese (Simplified), English
Exam Price:$165 USD
Related Certifications:Microsoft Certified: Fabric Analytics Engineer Associate
Real Exam Qty:40-60
Exam Duration:120 minutes
Passing Score:700/1000
Sample Questions:Microsoft DP-600 Sample Questions
Exam Way:Online proctored or in-person testing center
Pre Condition:Candidates should have foundational knowledge of data concepts, experience with Microsoft Fabric, and proficiency in data transformation and modeling. Familiarity with Power BI is recommended but not required.
Official Syllabus URL:https://learn.microsoft.com/en-us/certifications/exams/dp-600

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Latest Microsoft DP-600 Exam Questions in Three Different Formats

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Microsoft DP-600 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Prepare data: This section of the exam measures the skills of engineers and covers essential data preparation tasks. It includes establishing data connections and discovering sources through tools like the OneLake data hub and the real-time hub. Candidates must demonstrate knowledge of selecting the appropriate storage type—lakehouse, warehouse, or eventhouse—depending on the use case. It also includes implementing OneLake integrations with Eventhouse and semantic models. The transformation part involves creating views, stored procedures, and functions, as well as enriching, merging, denormalizing, and aggregating data. Engineers are also expected to handle data quality issues like duplicates, missing values, and nulls, along with converting data types and filtering. Furthermore, querying and analyzing data using tools like SQL, KQL, and the Visual Query Editor is tested in this domain.
Topic 2
  • Maintain a data analytics solution: This section of the exam measures the skills of administrators and covers tasks related to enforcing security and managing the Power BI environment. It involves setting up access controls at both workspace and item levels, ensuring appropriate permissions for users and groups. Row-level, column-level, object-level, and file-level access controls are also included, alongside the application of sensitivity labels to classify data securely. This section also tests the ability to endorse Power BI items for organizational use and oversee the complete development lifecycle of analytics assets by configuring version control, managing Power BI Desktop projects, setting up deployment pipelines, assessing downstream impacts from various data assets, and handling semantic model deployments using XMLA endpoint. Reusable asset management is also a part of this domain.
Topic 3
  • Implement and manage semantic models: This section of the exam measures the skills of architects and focuses on designing and optimizing semantic models to support enterprise-scale analytics. It evaluates understanding of storage modes and implementing star schemas and complex relationships, such as bridge tables and many-to-many joins. Architects must write DAX-based calculations using variables, iterators, and filtering techniques. The use of calculation groups, dynamic format strings, and field parameters is included. The section also includes configuring large semantic models and designing composite models. For optimization, candidates are expected to improve report visual and DAX performance, configure Direct Lake behaviors, and implement incremental refresh strategies effectively.

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q44-Q49):

NEW QUESTION # 44
You have the following T-SQI statement.

Answer:

Explanation:

Explanation:

The statement uses SUM(CASE WHEN RefundStatus = ' Refunded ' THEN SalesAmount ELSE 0 END) AS TotalRevenue, which calculates TotalRevenue by summing SalesAmount only when RefundStatus is ' Refunded ' , and 0 otherwise. This means Region values are returned regardless of RefundStatus, but the TotalRevenue reflects refunded items.
The WHERE (TransactionDate) - YEAR(GETDATE()) condition is incomplete and lacks proper comparison (e.g., no equality or range check), so it does not filter for the current year.
The TotalRevenue calculation does not aggregate all SalesAmount values with RefundStatus of ' Refunded ' ; it sums SalesAmount only for refunded items within the grouped data, with 0 for non-refunded items.


NEW QUESTION # 45
You have a Fabric tenant
You are creating a Fabric Data Factory pipeline.
You have a stored procedure that returns the number of active customers and their average sales for the current month.
You need to add an activity that will execute the stored procedure in a warehouse. The returned values must be available to the downstream activities of the pipeline.
Which type of activity should you add?

Answer: A


NEW QUESTION # 46
Hotspot Question
You have a Fabric tenant that contains a workspace named Workspace1 and a user named DBUser. Workspace1 contains a lakehouse named Lakehouse1. DBUser does NOT have access to the tenant.
You grant DBUser access to Lakehouse1 as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 47
You have a Fabric workspace named Workspace1 that contains a lakehouse named Lakehouse1.
In Workspace1, you create a data pipeline named Pipeline1.
You have CSV files stored in an Azure Storage account.
You need to add an activity to Pipeline1 that will copy data from the CSV files to Lakehouse1.
The activity must support Power Query M formula language expressions.
Which type of activity should you add?

Answer: D

Explanation:
To copy data from CSV files to Lakehouse1 in Workspace1, you should add a copy activity to Pipeline1.
https://learn.microsoft.com/en-us/fabric/data-factory/connector-lakehouse-copy-activity


NEW QUESTION # 48
You have a Fabric tenant that contains the workspaces shown in the following table.

You have a deployment pipeline named Pipeline1 that deploys items from Workspace_DEV to Workspace_TEST. In Pipeline1, all items that have matching names are paired.
You deploy the contents of Workspace_DEV to Workspace_TEST by using Pipeline1.
What will the contents of Workspace_TEST be once the deployment is complete?

Answer: B

Explanation:
Work space_DEV contents:
Lakehouse1, Notebook1, Pipeline1, SemanticModel1
Workspace_TEST contents (before deployment):
Lakehouse2, Notebook2, SemanticModel1
After deployment:
SemanticModel1 # same name, so it will be paired and overwritten with the DEV version.
Lakehouse1 and Notebook1 # new items, so they will be added to TEST.
Lakehouse2 and Notebook2 # remain because they don't conflict in name.
Pipeline1 # new item, so it will also be added .
So the final content is:
Lakehouse1, Lakehouse2, Notebook1, Noteboo k2, Pipeline1, SemanticModel1 Reference:
Deployment pipelines pairing behavior


NEW QUESTION # 49
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