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Microsoft DP-600 Exam Overview:
| Certification Vendor: | Microsoft |
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| Exam Name: | Implementing Analytics Solutions Using Microsoft Fabric |
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| Exam Number: | DP-600 |
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| Related Certifications: | PL-300 DP-203 DP-900 |
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| Exam Duration: | 120 minutes |
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| Real Exam Qty: | 40-60 |
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| Certificate Validity Period: | 1 year (renewable via Microsoft certification renewal) |
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| Exam Format: | Case studies, Multiple choice, Drag and drop, Scenario-based questions |
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| Passing Score: | 700 (out of 1000) |
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| Exam Price: | $165 USD (varies by country) |
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| Available Languages: | Portuguese (Brazil), Simplified Chinese, French, German, Korean, Spanish, English, Japanese |
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| Recommended Training: | Microsoft Fabric Documentation DP-600 Learning Path (Microsoft Learn) |
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| Exam Registration: | Microsoft Certification Dashboard Pearson VUE Microsoft Exams |
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| Sample Questions: | Microsoft DP-600 Sample Questions |
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| Exam Way: | Online proctored exam or in-person at Pearson VUE test centers |
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| Pre Condition: | No formal prerequisites required, but familiarity with data analytics, Power BI, and Azure data services is recommended. |
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| Official Syllabus URL: | https://learn.microsoft.com/credentials/certifications/fabric-analytics-engineer/ |
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| Topic | Details |
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| Topic 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.
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| Topic 2 | - 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.
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| 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.
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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q136-Q141):
NEW QUESTION # 136
You have a Microsoft Power Bl semantic model that contains a table named Date. Date contains a contiguous daily column named Date(Date) and a measure named (Sales).
You create a measure named Sales yoy Growth X that calculates year-over-year growth by comparing current period sales to sales from the same period last year by using Calculate < (Sales], parauelperioo( ' Date '
[Date], -12, MOrfTH)). The measure repeats the same sales calculation multiple times.
You need to rewrite the measure to ensure that the sales calculation is evaluated only once per query, while keeping the numeric results the same.
Which DAX measure should you use?
Answer: B
NEW QUESTION # 137
You have a Fabric tenant.
You plan to create a Fabric notebook that will use Spark DataFrames to generate Microsoft Power Bl visuals.
You run the following code.

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:
The code embeds an existing Power BI report. - No
The code creates a Power BI report. - Yes
The code displays a summary of the DataFrame. - Yes
The code provided seems to be a snippet from a SQL query or script which is neither creating nor embedding a Power BI report directly. It appears to be setting up a DataFrame for use within a larger context, potentially for visualization in Power BI, but the code itself does not perform the creation or embedding of a report.
Instead, it's likely part of a data processing step that summarizes data.
References =
Introduction to DataFrames - Spark SQL
Power BI and Azure Databricks
NEW QUESTION # 138
You have a Fabric warehouse that contains a table named Sales.Orders. Sales.Orders contains the following columns.

You need to write a T-SQL query that will return the following columns.

How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

For the PeriodDate that returns the first day of the month for OrderDate, you should use DATEFROMPARTS as it allows you to construct a date from its individual components (year, month, day).
For the DayName that returns the name of the day for OrderDate, you should use DATENAME with the weekday date part to get the full name of the weekday.
The complete SQL query should look like this:
SELECT OrderID, CustomerID,
DATEFROMPARTS(YEAR(OrderDate), MONTH(OrderDate), 1) AS PeriodDate,
DATENAME(weekday, OrderDate) AS DayName
FROM Sales.Orders
Select DATEFROMPARTS for the PeriodDate and weekday for the DayName in the answer area.
NEW QUESTION # 139
You have a data warehouse that contains a table named Stage. Customers. Stage-Customers contains all the customer record updates from a customer relationship management (CRM) system. There can be multiple updates per customer You need to write a T-SQL query that will return the customer ID, name, postal code, and the last updated time of the most recent row for each customer ID.
How should you complete the code? To answer, select the appropriate options in the answer area, NOTE Each correct selection is worth one point.

Answer:
Explanation:

NEW QUESTION # 140
You have a Fabric workspace named Workspace 1 that contains a dataflow named Dataflow1. Dataflow! has a query that returns 2.000 rows. You view the query in Power Query as shown in the following exhibit.

What can you identify about the pickupLongitude column?
- A. There are 935 values that occur only once.
- B. The column has missing values.
- C. The column has duplicate values.
- D. All the table rows are profiled.
Answer: C
Explanation:
The pickupLongitude column has duplicate values. This can be inferred because the 'Distinct count' is 935 while the 'Count' is 1000, indicating that there are repeated values within the column. Reference = Microsoft Power BI documentation on data profiling could provide further insights into understanding and interpreting column statistics like these.
NEW QUESTION # 141
......
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