Microsoft - DP-500 - Valid Exam Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Exercise

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Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Sample Questions (Q22-Q27):

NEW QUESTION # 22
You have a Power Bl report that contains the table shown in the following exhibit.

The table contains conditional formatting that shows which stores are above, near, or below the monthly quota for returns. You need to ensure that the table is accessible to consumers of reports who have color vision deficiency. What should you do?

A. Change the icons to use a different shape for each color.
B. Remove the icons and use red, yellow, and green background colors instead.
C. Move the conditional formatting icons to a tooltip report.
D. Add alt text to explain the information that each color conveys.

Answer: D

Explanation:
Report accessibility checklist, All Visuals.
* Ensure alt text is added to all non-decorative visuals on the page.
* Avoid using color as the only means of conveying information. Use text or icons to supplement or replace the color.
* Check that your report page works for users with color vision deficiency.
* Etc.

NEW QUESTION # 23
You have a 2-GB Power Bl dataset.
You need to ensure that you can redeploy the dataset by using Tabular Editor. The solution must minimize how long it will take to apply changes to the dataset from powerbi.com.
Which two actions should you perform in powerbi.com? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point

A. Turn on Large dataset storage format.
B. Enable XMLA read-write.
C. Enable service principal authentication for read-only admin APIs.
D. Connect the target workspace to an Azure Data Lake Storage Gen2 account.

Answer: A,B

Explanation:
Optimize datasets for write operations by enabling large models
When using the XMLA endpoint for dataset management with write operations, it's recommended you enable the dataset for large models. This reduces the overhead of write operations, which can make them considerably faster. For datasets over 1 GB in size (after compression), the difference can be significant.
Tabular Editor supports Azure Analysis Services and Power BI Premium Datasets through XMLA read/write.
Note: Tabular Editor - An open-source tool for creating, maintaining, and managing tabular models using an intuitive, lightweight editor. A hierarchical view shows all objects in your tabular model. Objects are organized by display folders with support for multi-select property editing and DAX syntax highlighting. XMLA read-only is required for query operations. Read-write is required for metadata operations.
Reference:
https://tabulareditor.github.io/

NEW QUESTION # 24
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are using an Azure Synapse Analytics serverless SQL pool to query a collection of Apache Parquet files by using automatic schema inference. The files contain more than 40 million rows of UTF-8-encoded business names, survey names, and participant counts. The database is configured to use the default collation.
The queries use open row set and infer the schema shown in the following table.

You need to recommend changes to the queries to reduce I/O reads and tempdb usage.
Solution: You recommend using openrowset with to explicitly specify the maximum length for businessName and surveyName.
Does this meet the goal?

A. No
B. Yes

Answer: A

Explanation:
Instead use Solution: You recommend using OPENROWSET WITH to explicitly define the collation for businessName and surveyName as Latin1_General_100_BIN2_UTF8.
Query Parquet files using serverless SQL pool in Azure Synapse Analytics.
Important
Ensure you are using a UTF-8 database collation (for example Latin1_General_100_BIN2_UTF8) because string values in PARQUET files are encoded using UTF-8 encoding. A mismatch between the text encoding in the PARQUET file and the collation may cause unexpected conversion errors. You can easily change the default collation of the current database using the following T-SQL statement: alter database current collate Latin1_General_100_BIN2_UTF8'.
Note: If you use the Latin1_General_100_BIN2_UTF8 collation you will get an additional performance boost compared to the other collations. The Latin1_General_100_BIN2_UTF8 collation is compatible with parquet string sorting rules. The SQL pool is able to eliminate some parts of the parquet files that will not contain data needed in the queries (file/column-segment pruning). If you use other collations, all data from the parquet files will be loaded into Synapse SQL and the filtering is happening within the SQL process. The Latin1_General_100_BIN2_UTF8 collation has additional performance optimization that works only for parquet and CosmosDB. The downside is that you lose fine-grained comparison rules like case insensitivity.

NEW QUESTION # 25
You have an Azure Data Lake Storage Gen 2 container that stores more than 300,000 files representing hourly
telemetry data. The data is organized in folders by the year, month, and day according to when the telemetry
was captured.
You have the following query in Power Query Editor.

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:

NEW QUESTION # 26
Note: This question is part of a scries of questions that present the same scenario. Each question in the series
contains a unique solution that might meet the stated goals. Some question sets might have more than one
correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions
will not appear in the review screen.
You have the Power Bl data model shown in the exhibit. (Click the Exhibit tab.)

Users indicate that when they build reports from the data model, the reports take a long time to load.
You need to recommend a solution to reduce the load times of the reports.
Solution: You recommend creating a perspective that contains the commonly used fields.
Does this meet the goal?

A. No
B. Yes

Answer: A

NEW QUESTION # 27
......

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