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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing Analytics Solutions Using Microsoft Fabric |
| Exam Number: | DP-600 |
| Exam Duration: | 120 minutes |
| Exam Price: | $165 USD (varies by country) |
| Real Exam Qty: | 40-60 |
| Exam Format: | Multiple choice, Case studies, Drag and drop, Scenario-based questions |
| Related Certifications: | DP-900 DP-203 PL-300 |
| Certificate Validity Period: | 1 year (renewable via Microsoft certification renewal) |
| Available Languages: | Korean, German, Spanish, English, Simplified Chinese, French, Portuguese (Brazil), Japanese |
| Passing Score: | 700 (out of 1000) |
| Recommended Training: | Microsoft Fabric Documentation DP-600 Learning Path (Microsoft Learn) |
| Exam Registration: | Microsoft Certification Dashboard Pearson VUE Microsoft Exams |
| Sample Questions: | Microsoft DP-600 Sample Questions |
| Exam Way: | Online proctored exam or in-person at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites required, but familiarity with data analytics, Power BI, and Azure data services is recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/credentials/certifications/fabric-analytics-engineer/ |
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NEW QUESTION # 114
You have source data in a folder on a local computer.
You need to create a solution that will use Fabric to populate a data store. The solution must meet the following requirements:
* Support the use of dataflows to load and append data to the data store.
* Ensure that Delta tables are V-Order optimized and compacted automatically.
Which type of data store should you use?
Answer: C,D
Explanation:
A lakehouse (A) is the type of data store you should use. It supports dataflows to load and append data and ensures that Delta tables are Z-Order optimized and compacted automatically. References = The capabilities of a lakehouse and its support for Delta tables are described in the lakehouse and Delta table documentation.
NEW QUESTION # 115
You have a Microsoft Power Bl project that contains a file named definition.pbir. definition.pbir contains the following JSON.
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 # 116
You have a Fabric warehouse named Warehouse1 that contains a table named dbo.Product. dbo.Product contains the following columns.
You need to use a T-SQL query to add a column named PriceRange to dbo.Product. The column must categorize each product based on UnitPrice. The solution must meet the following requirements:
* If UnitPrice is 0, PriceRange is "Not for resale".
* If UnitPrice is less than 50, PriceRange is "Under $50".
* If UnitPrice is between 50 and 250, PriceRange is "Under $250".
* In all other instances, PriceRange is "$250+".
How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Comprehensive Detailed Explanation
We need to create a computed column PriceRange based on the UnitPrice column in the dbo.Product table.
Step 1: Requirements
If UnitPrice = 0 # "Not for resale"
If UnitPrice < 50 # "Under $50"
If UnitPrice >= 50 AND UnitPrice < 250 # "Under $250"
Otherwise # "$250+"
This matches a CASE expression in T-SQL.
Step 2: CASE Expression Structure
The syntax is:
CASE
WHEN condition THEN result
WHEN condition THEN result
ELSE result
END
Step 3: Apply to Problem
SELECT
Item,
UnitPrice,
PriceRange = CASE
WHEN UnitPrice = 0 THEN 'Not for resale'
WHEN UnitPrice < 50 THEN 'Under $50'
WHEN UnitPrice >= 50 AND UnitPrice < 250 THEN 'Under $250'
ELSE '$250+'
END
FROM [Warehouse1].[dbo].[Product];
Step 4: Why This is Correct
CASE starts the conditional evaluation.
ELSE handles the default branch ($250+).
END closes the expression.
Meets all requirements exactly.
References
CASE expression in T-SQL
Computed columns in T-SQL
NEW QUESTION # 117
You have a Fabric notebook that has the Python code and output shown in the following exhibit.
Which type of analytics are you performing?
Answer: B
Explanation:
The Python code and output shown in the exhibit display a histogram, which is a representation of the distribution of data. This kind of analysis is descriptive analytics, which is used to describe or summarize the features of a dataset. Descriptive analytics answers the question of "what has happened" by providing insight into past data through tools such as mean, median, mode, standard deviation, and graphical representations like histograms.
NEW QUESTION # 118
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.
Answer:
Explanation:
Explanation:
* A replica of dbo.Sales is created in the test schema by copying the metadata only. - Yes
* Additional schema changes to dbo.FactSales will also apply to test.FactSales. - No
* Additional data changes to dbo.FactSales will also apply to test.FactSales. - No The CREATE TABLE AS CLONE statement creates a copy of an existing table, including its data and any associated data structures, like indexes. Therefore, the statement does not merely copy metadata; it also copies the data. However, subsequent schema changes to the original table do not automatically propagate to the cloned table. Any data changes in the original table after the clone operation will not be reflected in the clone unless explicitly updated.
References =
* CREATE TABLE AS SELECT (CTAS) in SQL Data Warehouse
NEW QUESTION # 119
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