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NEW QUESTION # 40
You are using a Python notebook in an Apache Spark pool in Azure Synapse Analytics.
You need to present the data distribution statistics from a DataFrame in a tabular view.
Which method should you invoke on the DataFrame?
- A. cov
- B. summary
- C. freqlcems
- D. rollup
Answer: A
Explanation:
pandas.DataFrame.corr computes pairwise correlation of columns, excluding NA/null values.
Incorrect:
* freqItems
pyspark.sql.DataFrame.freqItems
Finding frequent items for columns, possibly with false positives. Using the frequent element count algorithm described in https://doi.org/10.1145/762471.762473, proposed by Karp, Schenker, and Papadimitriou.'
* summary is used for index.
* There is no panda method for rollup. Rollup would not be correct anyway.
NEW QUESTION # 41
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:
Explanation
NEW QUESTION # 42
You have a Power Bl dataset that has the query dependencies shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/powerquery-m/table-buffer
Topic 2, Litware, Inc.
Azure Resources
Litware has the following Azure resources:
* An Azure Synapse Analytics workspace named synapseworkspace1
* An Azure Data Lake Storage Gen2 account named datalake1 that is associated with synapseworkspace1
* A Synapse Analytics dedicated SQL pool named SQLDW
Dedicated SQL Pool
SQLDW contains a dimensional model that contains the following table.
SQLDW contains the following additional tables.
SQLDW contains a view named dbo.CustomerPurchases that creates a distinct list of values from dbo.Customer [customeriD], dbo.Customer
[CustomerEmail], dbo.ProductfProductID] and dbo.Product[ProductName].
The sales data in SQLDW is updated every 30 minutes. Records in dbo.SalesTransactions are updated in SQLDW up to three days after being created. The records do NOT change after three days.
Power BI
Litware has a new Power Bl tenant that contains an empty workspace named Sales Analytics.
All users have Power B1 Premium per user licenses.
IT data analysts are workspace administrators. The IT data analysts will create datasets and reports.
A single imported dataset will be created to support the company's sales analytics goals. The dataset will be refreshed every 30 minutes.
Analytics Goals
Litware identifies the following analytics goals:
* Provide historical reporting of sales by product and channel over time.
* Allow sales managers to perform ad hoc sales reporting with minimal effort.
* Perform market basket analysis to understand which products are commonly purchased in the same transaction.
* Identify which customers should receive promotional emails based on their likelihood of purchasing promoted products.
Litware plans to monitor the adoption of Power Bl reports over time. The company wants custom Power Bl usage reporting that includes the percent change of users that view reports in the Sales Analytics workspace each month.
Security Requirements
Litware identifies the following security requirements for the analytics environment:
* All the users in the sales department and the marketing department must be able to see Power B1 reports that contain market basket analysis and data about which customers are likely to purchase a product.
* Customer contact data in SQLDW and the Power B1 dataset must be labeled as Sensitive. Records must be kept of any users that use the sensitive data.
* Sales associates must be prevented from seeing the CustomerEmail column in Power B1 reports.
* Sales managers must be prevented from modifying reports created by other users.
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 Bl content must be deployed to test and production by using deployment pipelines.
* All SQL scripts must be stored in Azure Repos.
The IT data analysts prefer to build Power Bl reports in Synapse Studio.
NEW QUESTION # 43
You have an Azure Synapse notebook.
You need to create the visual shown in the following exhibit.
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:
Reference:
https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.suptitle.html#matplotlib.pyplot.suptitle
NEW QUESTION # 44
You are configuring Azure Synapse Analytics pools to support the Azure Active Directory groups shown in the following table.
Which type of pool should each group use? To answer, drag the appropriate pool types to the groups. Each pool type 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:
Reference:
https://www.royalcyber.com/blog/data-services/dedicated-sql-pool-vs-serverless-sql/
NEW QUESTION # 45
You have a Power Bl tenant that is configured as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct answer is worth one point.
Answer:
Explanation:
NEW QUESTION # 46
You have the following Python code in an Apache Spark notebook.
Which type of chart will the code produce?
- A. a bar chart
- B. a pie chart
- C. an area chart
- D. a stacked bar chart
Answer: C
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 # 47
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
Explanation:
Explanation
Instead denormalize For Performance.
Even though it might mean storing a bit of redundant data, schema denormalization can sometimes provide better query performance. The only question then becomes is the extra space used worth the performance benefit.
Reference: https://www.mssqltips.com/sqlservertutorial/3211/denormalize-for-performance/
NEW QUESTION # 48
You have five Power Bl reports that contain R script data sources and R visuals.
You need to publish the reports to the Power Bl service and configure a daily refresh of datasets.
What should you include in the solution?
- A. a workspace that connects to an Azure Data Lake Storage Gen2 account
- B. a Power Bl Embedded capacity
- C. an on-premises data gateway (standard mode)
- D. an on-premises data gateway (personal mode)
Answer: A
Explanation:
Explanation
To schedule refresh of your R visuals or dataset, enable scheduled refresh and install an on-premises data gateway (personal mode) on the computer containing the workbook and R.
Reference: https://docs.microsoft.com/en-us/power-bi/connect-data/desktop-r-in-query-editor
NEW QUESTION # 49
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 GUID column and retain the loT ID column.
Does this meet the goal?
- A. No
- B. Yes
Answer: A
NEW QUESTION # 50
You have a Power Bl dataset that has the query dependencies shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/powerquery-m/table-buffer
NEW QUESTION # 51
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 the Power BI 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 denormalizing the data model.
Does this meet the goal?
- A. Yes
- B. No
Answer: A
Explanation:
Explanation
Denormalize For Performance.
Even though it might mean storing a bit of redundant data, schema denormalization can sometimes provide better query performance. The only question then becomes is the extra space used worth the performance benefit.
Reference: https://www.mssqltips.com/sqlservertutorial/3211/denormalize-for-performance/
NEW QUESTION # 52
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 defining an external table for the Parquet files and updating the query to use the table Does this meet the goal?
- A. No
- B. Yes
Answer: A
NEW QUESTION # 53
You are building a Power Bl dataset that will use two data sources.
The dataset has a query that uses a web data source. The web data source uses anonymous authentication.
You need to ensure that the query can be used by all the other queries in the dataset.
Which privacy level should you select for the data source?
- A. Organizational
- B. None
- C. Public
- D. Private
Answer: D
NEW QUESTION # 54
You are configuring Azure Synapse Analytics pools to support the Azure Active Directory groups shown in the following table.
Which type of pool should each group use? To answer, drag the appropriate pool types to the groups. Each pool type 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:
Reference:
https://www.royalcyber.com/blog/data-services/dedicated-sql-pool-vs-serverless-sql/
NEW QUESTION # 55
You have a dataset that contains a table named UserPermissions. UserPermissions contains the following data.
You plan to create a security role named User Security for the dataset. You need to filter the dataset based on the current users. What should you include in the DAX expression?
- A. [User] = USEROBJECTID()
- B. [User] = USERPRINCIPALNAME()
- C. [UserPermissions] - USERPRINCIPALNAME()
- D. [User] = USERNAME()
- E. [UserPermissions] - USERNAME()
Answer: D
Explanation:
Explanation
USERNAME() returns the domain name and username from the credentials given to the system at connection time.
It should be compared to column name of User, which in DAX is expressed through [User].
Reference: https://docs.microsoft.com/en-us/dax/username-function-dax
NEW QUESTION # 56
You need to build a Transact-SQL query to implement the planned changes for the internal users.
How should you complete the Transact-SQL query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 57
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The Microsoft DP-500 exam consists of various types of questions, including multiple-choice questions, scenario-based questions, and drag-and-drop questions. DP-500 exam is timed and candidates have a limited amount of time to complete it. The passing score for the exam is 700 out of 1000.
Certification Topics of Microsoft DP-500 Exam
Query and transform data (20-25%)
Explore and visualize data (20-25%)
Implement and manage a data analytics environment (25-30%)
Implement and manage data models (25 -30%)
DP-500 Exam Practice Questions prepared by Microsoft Professionals: https://pass4sure.practicedump.com/DP-500-exam-questions.html