(2024) PASS DP-500 exam with Microsoft DP-500 Real Exam Questions
Real exam questions are provided for Azure Enterprise Data Analyst Associate tests, which can make sure you 100% pass
The DP-500 certification exam covers a range of topics, including data storage and processing, data transformation and integration, data visualization and reporting, and machine learning. DP-500 exam is designed to test your ability to design and implement end-to-end analytics solutions using Microsoft Azure and Power BI, including data storage, processing, and visualization. By passing DP-500 exam, you can demonstrate your ability to create enterprise-scale analytics solutions that meet the needs of modern businesses.
Microsoft DP-500 exam is designed to test the skills and knowledge of professionals who are responsible for designing and implementing enterprise-scale analytics solutions using Microsoft Azure and Microsoft Power BI. DP-500 exam is suitable for data engineers, data architects, and business intelligence professionals who work with large data sets and want to demonstrate their expertise in designing and implementing analytics solutions.
Microsoft DP-500 Exam is a valuable certification for professionals who want to showcase their expertise in data analytics and cloud computing. By passing DP-500 exam, candidates can demonstrate their ability to design and implement enterprise-scale analytics solutions using Microsoft Azure and Microsoft Power BI, which can help them advance their careers and increase their earning potential.
NEW QUESTION # 85
Note: This question is part of a series 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 a Power Bl Premium capacity.
From the Power Bl Premium Capacity Metrics app, you discover the following:
* There is insufficient CPU to execute dataset refreshes.
* Out-of-memory throttling occurs when the dataset is waiting.
You need to recommend a solution to resolve the performance issues.
Solution: You scale up the capacity.
Does this meet the goal?
- A. No
- B. Yes
Answer: B
NEW QUESTION # 86
You have the following code in an Azure Synapse notebook.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the code.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: three scatterplots
Compare Plots
Example, Draw two plots on the same figure:
import matplotlib.pyplot as plt
import numpy as np
#day one, the age and speed of 13 cars:
x = np.array([5,7,8,7,2,17,2,9,4,11,12,9,6])
y = np.array([99,86,87,88,111,86,103,87,94,78,77,85,86])
plt.scatter(x, y)
#day two, the age and speed of 15 cars:
x = np.array([2,2,8,1,15,8,12,9,7,3,11,4,7,14,12])
y = np.array([100,105,84,105,90,99,90,95,94,100,79,112,91,80,85])
plt.scatter(x, y)
plt.show()
Result:
Chart, scatter chart Description automatically generated
Box 2: three marker symbols
One for each scatterplot. One default, and two defined.
Default is point.
v is triangle down.
^ is triangle up.
Reference: https://www.w3schools.com/python/matplotlib_scatter.asp
https://matplotlib.org/stable/api/markers_api.html
NEW QUESTION # 87
You need to implement object-level security (OLS) in the Power Bl dataset for the sales associates.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
1 - From Power BI Desktop, create a role for the sales associates.
2 - From Tabular Editor, set Object Level Security to None for the Customer[Email] column and save the changes.
3 - From Power Bl Desktop, publish the dataset to the sales analytics workspace.
NEW QUESTION # 88
You have the following Python code in an Apache Spark notebook.
Which type of chart will the code produce?
- A. an area chart
- B. a stacked bar chart
- C. a bar chart
- D. a pie chart
Answer: A
Explanation:
The matplotlib.pyplot.fill_between function fills the area between two horizontal curves.
The curves are defined by the points (x, y1) and (x, y2). This creates one or multiple polygons describing the filled area.
NEW QUESTION # 89
Which two possible tools can you use to identify what causes the report to render slowly? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. Azure Data Studio
- B. Performance analyzer in Power Bl Desktop
- C. Synapse Studio
- D. DAX Studio
Answer: B,D
Explanation:
Some users indicate that the visuals in Power BI reports are slow to render when making filter selections.
B: You can investigate a slow query in a Power BI report using DAX Studio, looking at the query plan and the server timings.
D: Use Power BI Desktop Performance Analyzer to optimize the report or model.
Reference:
https://docs.microsoft.com/en-us/power-bi/guidance/report-performance-troubleshoot
NEW QUESTION # 90
You have the following code in an Azure Synapse notebook.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the code.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://matplotlib.org/stable/gallery/lines_bars_and_markers/bar_stacked.html
https://matplotlib.org/stable/api/legend_api.html
NEW QUESTION # 91
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 define the collation for businessName and surveyName as Latim_Generai_100_BiN2_UTF8.
Does this meet the goal?
- A. No
- B. Yes
Answer: B
Explanation:
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 # 92
What should you configure in the deployment pipeline?
- A. a backward deployment
- B. a selective deployment
- C. auto-binding
- D. a data source rule
Answer: D
Explanation:
Explanation
Development Process Requirements
Litware identifies the following development process requirements:
SQLDW and datalake1 will act as the development environment. Once feature development is complete, all entities in synapseworkspace1 will be promoted to a test workspace, and then to a production workspace.
Power BI content must be deployed to test and production by using deployment pipelines.
Create deployment rules
When working in a deployment pipeline, different stages may have different configurations. For example, each stage can have different databases or different query parameters. The development stage might query sample data from the database, while the test and production stages query the entire database.
When you deploy content between pipeline stages, configuring deployment rules enables you to allow changes to content, while keeping some settings intact. For example, if you want a dataset in a production stage to point to a production database, you can define a rule for this. The rule is defined in the production stage, under the appropriate dataset. Once the rule is defined, content deployed from test to production, will inherit the value as defined in the deployment rule, and will always apply as long as the rule is unchanged and valid.
You can configure data source rules and parameter rules.
Incorrect:
Not B: if you already have a steady production environment, you can deploy it backward (to Test or Dev, based on your need) and set up the pipeline. The feature is not limited to any sequential orders.
Reference:
https://docs.microsoft.com/en-us/power-bi/create-reports/deployment-pipelines-get-started#step-4---create-deplo
NEW QUESTION # 93
You are implementing a reporting solution that has the following requirements:
* Reports for external customers must support 500 concurrent requests. The data for these reports is
approximately 7 GB and is stored in Azure Synapse Analytics.
* Reports for the security team use data that must have local security rules applied at the database level to
restrict access. The data being reviewed is 2 GB.
Which storage mode provides the best response time for each group of users?
- A. DirectQuery for the external customers and DirectQuery for the security team.
- B. DirectQuery for the external customers and import for the security team.
- C. Import for the external customers and import for the security team.
- D. Import for the external customers and DirectQuery for the security team.
Answer: B
NEW QUESTION # 94
You need to recommend a security solution for the Power Bl tenant to control external data sharing. The solution must meet the technical requirements.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 95
You have a Power Bl report that contains the visual shown in the following exhibit.
You need to make the visual more accessible to users who have color vision deficiency. What should you do?
- A. Add icons to represent the sales status of each product.
- B. Change the red background color to orange.
- C. Change the font color of values in the Sales column to white.
- D. Add additional measures to the table values.
Answer: C
Explanation:
Explanation
Themes, contrast and colorblind-friendly colors
You should ensure that your reports have enough contrast between text and any background colors.
Certain color combinations are particularly difficult for users with color vision deficiencies to distinguish.
These include the following combinations:
**---> green and black
green and red
green and brown
blue and purple
green and blue
light green and yellow
blue and grey
green and grey
Avoid using these colors together in a chart, or on the same report page.
Reference: https://docs.microsoft.com/en-us/power-bi/create-reports/desktop-accessibility-creating-reports
NEW QUESTION # 96
You have a Power Bl dataset that has only the necessary fields visible for report development.
You need to ensure that end users see only 25 specific fields that they can use to personalize visuals.
What should you do?
- A. From Tabular Editor, create a new perspective.
- B. Configure object-level security (OLS).
- C. From Tabular Editor, create a new role.
- D. Hide all the fields in the dataset.
Answer: D
NEW QUESTION # 97
You have a sales report as shown in the following exhibit.
The sales report has the following characteristics:
The measures are optimized.
The dataset uses import storage mode.
Data points, hierarchies, and fields cannot be removed or filtered from the report page.
From powerbi.com, users experience slow load times when viewing the report.
You need to reduce how long it takes for the report to load without affecting the data displayed in the report.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Replace the single-value cards with a multi-row card.
- B. Replace all the filters on the Filters pane with visual slicers on the report page.
- C. Replace the product category charts with a bar chart for sales and a hierarchy of Category and Sub Category on the axis.
- D. Change the report theme to monochromatic.
Answer: A,C
NEW QUESTION # 98
You discover a poorly performing measure in a Power Bl data model.
You need to review the query plan to analyze the amount of time spent in the storage engine and the formula engine.
What should you use?
- A. Performance analyzer in Power Bl Desktop
- B. Tabular Editor
- C. DAX Studio
- D. Vertipaq Analyzer
Answer: A
Explanation:
Explanation
Monitor report performance in Power BI Desktop using the Performance Analyzer. Monitoring will help you learn where the bottlenecks are, and how you can improve report performance.
Monitoring performance is relevant in the following situations:
Your Import data model refresh is slow.
Your DirectQuery or Live Connection reports are slow.
Your model calculations are slow.
Slow queries or report visuals should be a focal point of continued optimization.
Reference: https://docs.microsoft.com/en-us/power-bi/guidance/monitor-report-performance
NEW QUESTION # 99
Note: This question is part of a series 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.
From Power Query Editor, you profile the data shown in the following exhibit.
From Power Query Editor, you profile the data shown in the following exhibit The loT GUIO and loT ID columns are unique to each row in the query.
You need to analyze loT events by the hour and day of the year. The solution must improve dataset performance.
Solution: You remove the loT ID column and retain the loT GUID column.
Does this meet the goal?
- A. No
- B. Yes
Answer: B
NEW QUESTION # 100
You have the following Python code in an Apache Spark notebook.
Which type of chart will the code produce?
- A. an area chart
- B. a stacked bar chart
- C. a bar chart
- D. a pie chart
Answer: A
Explanation:
Explanation
The matplotlib.pyplot.fill_between function fills the area between two horizontal curves.
The curves are defined by the points (x, y1) and (x, y2). This creates one or multiple polygons describing the filled area.
Reference: https://matplotlib.org/3.5.0/api/_as_gen/matplotlib.pyplot.fill_between.html
NEW QUESTION # 101
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