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[General] Pass Microsoft DP-600 Rate - DP-600 Standard Answers

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【General】 Pass Microsoft DP-600 Rate - DP-600 Standard Answers

Posted at 3 day before      View:11 | Replies:1        Print      Only Author   [Copy Link] 1#
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Microsoft DP-600 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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.
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
  • 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.

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q105-Q110):NEW QUESTION # 105
You have a Fabric tenant
You plan to create a data pipeline named Pipeline1. Pipeline1 will include two activities that will execute in sequence. You need to ensure that a failure of the first activity will NOT block the second activity. Which conditional path should you configure between the first activity and the second activity?
  • A. Upon Failure
  • B. Upon Skip
  • C. Upon Success
  • D. Upon Completion
Answer: D
Explanation:
Upon Success: downstream runs only if the first activity succeeds.
Upon Failure: downstream runs only if the first activity fails.
Upon Skip: downstream runs if the activity was skipped.
Upon Completion: downstream runs regardless of whether the first activity succeeded or failed.
Since we want the second activity to run even if the first fails, the correct answer is Upon Completion.
Reference: Pipeline activity dependencies in Fabric Data Factory

NEW QUESTION # 106
You have a Microsoft Fabric tenant that contains a dataflow.
You are exploring a new semantic model.
From Power Query, you need to view column information as shown in the following exhibit.

Which three Data view options should you select? Each correct answer presents part of the solution. NOTE:
Each correct answer is worth one point.
  • A. Show column profile in details pane
  • B. Enable column profile
  • C. Show column quality details
  • D. Show column value distribution
  • E. Enable details pane
Answer: B,C,E
Explanation:
To view column information like the one shown in the exhibit in Power Query, you need to select the options that enable profiling and display quality and distribution details. These are: A. Enable column profile - This option turns on profiling for each column, showing statistics such as distinct and unique values. B. Show column quality details - It displays the column quality bar on top of each column showing the percentage of valid, error, and empty values. E. Show column value distribution - It enables the histogram display of value distribution for each column, which visualizes how often each value occurs.
References: These features and their descriptions are typically found in the Power Query documentation, under the section for data profiling and quality features.

NEW QUESTION # 107
You have a Fabric tenant that contains a data warehouse named DW1. DW1 contains a table named DimCustomer. DimCustomer contains the fields shown in the following table.

You need to identify duplicate email addresses in DimCustomer. The solution must return a maximum of
1,000 records.
Which four T-SQL statements should you run in sequence? To answer, move the appropriate statements from the list of statements to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation:


NEW QUESTION # 108
You have a Fabric tenant tha1 contains a takehouse named Lakehouse1. Lakehouse1 contains a Delta table named Customer.
When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.
You need to identify whether maintenance tasks were performed on Customer.
Solution: You run the following Spark SQL statement:
REFRESH TABLE customer
Does this meet the goal?
  • A. No
  • B. Yes
Answer: A

NEW QUESTION # 109
You are analyzing the data in a Fabric notebook.
You have a Spark DataFrame assigned to a variable named df.
You need to use the Chart view in the notebook to explore the data manually.
Which function should you run to make the data available in the Chart view?
  • A. show
  • B. write
  • C. display
  • D. displayHTML
Answer: C

NEW QUESTION # 110
......
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