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Microsoft DP-600 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Implementing Analytics Solutions Using Microsoft Fabric
Exam Number:DP-600
Real Exam Qty:40-60
Exam Format:Drag-and-drop, Multiple-choice, Case studies
Passing Score:700/1000
Certificate Validity Period:1 year
Related Certifications:Microsoft Certified: Fabric Analytics Engineer Associate
Available Languages:Japanese, English, Korean, Chinese (Simplified)
Exam Price:$165 USD
Exam Duration:120 minutes
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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Microsoft DP-600 시험요강:

주제소개
주제 1
  • 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.
주제 2
  • 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.
주제 3
  • 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.

최신 Microsoft Certified DP-600 무료샘플문제 (Q209-Q214):

질문 # 209
You have a Fabric workspace named Workspacel that contains a lakehouse named Lakehousel. Lakehousel contains a table named Tablel. Table 1 contains the following data.

You need to perform the following actions:
* Load the data from Table! into a star schema.
* Create a product dimension table named DimProduct and a fact table named FactSales.
Which three columns should you include in DimProduct?

정답：A

설명：
Step 1 - Understanding star schema design
Fact tables # contain transactional, numeric, and foreign key columns (e.g., TransactionID, Date, SalesAmount, ProductID).
Dimension tables # contain descriptive attributes and business keys (e.g., ProductID, ProductName, ProductColor).
Step 2 - Column classification
TransactionID # Fact (surrogate key for the fact table).
Date # Goes into a Date Dimension (not into DimProduct).
ProductID # Business key # belongs in DimProduct.
ProductColor # Descriptive attribute # belongs in DimProduct.
ProductName # Descriptive attribute # belongs in DimProduct.
SalesAmount # Fact (measure, belongs in FactSales).
Step 3 - Select DimProduct columns
So DimProduct should include:
ProductID
ProductName
ProductColor
That matches option A .


질문 # 210
You have a Fabric tenant that contains a semantic model named Model1. Model1 contains a fact table named FactSales. FactSales has a relationship to a dimension table named DimDate on a column named OrderDate.
To FactSales, you add a second relationship between FactSales and DimDate based on a column named ShippedDate.
You need to filter by using ShippedDate in a new report. The solution must NOT affect the function of existing reports.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.

정답：A,D


질문 # 211
You need to resolve the issue with the pricing group classification.
How should you complete the T-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답：

설명：

Explanation:

* You should use CREATE VIEW to make the pricing group logic available for T-SQL queries.
* The CASE statement should be used to determine the pricing group based on the list price.
The T-SQL statement should create a view that classifies products into pricing groups based on the list price.
The CASE statement is the correct conditional logic to assign each product to the appropriate pricing group.
This view will standardize the pricing group logic across different databases and semantic models.


질문 # 212
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?

정답：C


질문 # 213
You have an Azure Repos Git repository named Repo1 and a Fabric-enabled Microsoft Power Bl Premium capacity. The capacity contains two workspaces named Workspace! and Workspace2. Git integration is enabled at the workspace level.
You plan to use Microsoft Power Bl Desktop and Workspace! to make version-controlled changes to a semantic model stored in Repo1. The changes will be built and deployed lo Workspace2 by using Azure Pipelines.
You need to ensure that report and semantic model definitions are saved as individual text files in a folder hierarchy. The solution must minimize development and maintenance effort.
In which file format should you save the changes?

정답：A

설명：
When working with Power BI Desktop and Git integration for version control, report and semantic model definitions should be saved in the PBIX format. PBIX is the Power BI Desktop file format that contains definitions for reports, data models, and queries, and it can be easily saved and tracked in a version-controlled environment. The solution should minimize development and maintenance effort, and saving in PBIX format allows for the easiest transition from development to deployment, especially when using Azure Pipelines for CI/CD (continuous integration/continuous deployment) practices.


질문 # 214
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