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Microsoft DP-600 Exam Overview:

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

최신 Microsoft Certified DP-600 무료샘플문제 (Q13-Q18):

질문 # 13
Hotspot Question
You have a Fabric tenant that contains a warehouse named Warehouse1. Warehouse1 contains a fact table named FactSales that has one billion rows.
You run the following T-SQL statement.
CREATE TABLE test.FactSales AS CLONE OF Dbo.FactSales;
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

정답:

설명:

Explanation:
The AS CLONE AS creates a replica of the original table by copying the metadata (no data).
The two copies are independent therefore any changes will not be inherited.
https://learn.microsoft.com/en-us/fabric/data-warehouse/clone-table


질문 # 14
You have a Microsoft Power Bl project that contains a semantic model. You plan to use Azure DevOps for version control.
You need to modify the .gitignore file to prevent the data values from the data sources from being pushed to the repository. Which file should you reference?

정답:D

설명:
When using Power BI Project (.pbip) with Git integration:
The .pbip project separates model metadata (schema, measures, relationships, etc.) from actual data values.
The localSettings.json file stores machine-specific and environment-specific settings, including data source credentials and local configurations. These should not be checked into version control to avoid exposing sensitive information or environment-specific configs.
Other options:
unappliedChanges.json # tracks unsaved changes, not data values.
model.bim # defines the semantic model schema (measures, relationships, metadata) and must be included in version control.
cache.abf # stores Analysis Services cache data, not part of source control.
Therefore, the correct file to exclude is localSettings.json.
Reference:
Power BI Projects and Git integration
localSettings.json in PBIP projects


질문 # 15
You have the source data model shown in the following exhibit.

The primary keys of the tables are indicated by a key symbol beside the columns involved in each key.
You need to create a dimensional data model that will enable the analysis of order items by date, product, and customer.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:

설명:

Explanation:

The relationship between OrderItem and Product must be based on: Both the CompanyID and the ProductID columns The Company entity must be: Denormalized into the Customer and Product entities In a dimensional model, the relationships are typically based on foreign key constraints between the fact table (OrderItem) and dimension tables (Product, Customer, Date). Since CompanyID is present in both the OrderItem and Product tables, it acts as a foreign key in the relationship. Similarly, ProductID is a foreign key that relates these two tables. To enable analysis by date, product, and customer, the Company entity would need to be denormalized into the Customer and Product entities to ensure that the relevant company information is available within those dimensions for querying and reporting purposes.
References =
Dimensional modeling
Star schema design


질문 # 16
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:


질문 # 17
You have a Fabric lakehouse named Lakehouse1 that contains the following data.

You need build a T-SQL statement that will return the total sales amount by OrderDate only for the days that are holidays in Australia. The total sales amount must sum the quantity multiplied by the price on each row in the dbo.sales table.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:

설명:

Explanation:

Step 1: Requirement
We need to calculate total sales amount by OrderDate.
Total Sales Amount = Quantity × UnitPrice per row.
Then SUM over all rows per OrderDate.
Only include rows where the OrderDate matches a public holiday in Australia.
Step 2: Calculation Logic
If we select s.Quantity * s.UnitPrice, it only computes row-level values.
To calculate the total sales amount per OrderDate, we need:
SUM(s.Quantity * s.UnitPrice) AS TotalSalesAmt
Thus, the correct calculation: SUM(s.Quantity * s.UnitPrice)
Step 3: Join Type
We want to return only those sales that occurred on public holidays in Australia.
If we used a LEFT JOIN, we'd include all sales regardless of holiday.
A FULL OUTER JOIN would include non-matching rows, not required.
A CROSS JOIN would duplicate results unnecessarily.
A RIGHT OUTER JOIN would include holidays with no sales, which is not needed.
The correct choice is an INNER JOIN on matching dates.
Step 4: Final Query
SELECT
s.OrderDate,
SUM(s.Quantity * s.UnitPrice) AS TotalSalesAmt
FROM dbo.sales AS s
INNER JOIN dbo.publicholidays AS ph
ON s.OrderDate = ph.Date
WHERE ph.countryOrRegion = 'Australia'
GROUP BY s.OrderDate;
Why This is Correct
SUM(s.Quantity * s.UnitPrice) # ensures sales are aggregated correctly.
INNER JOIN # ensures only rows where OrderDate matches a holiday are included.
WHERE ph.countryOrRegion = 'Australia' # filters holidays to Australia only.
References
SUM (Transact-SQL)
JOIN operations in T-SQL


질문 # 18
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