Fast2test DP-500問題集115問でAzure Enterprise Data Analyst Associateを確実実践
リアル最新DP-500試験問題DP-500問題集
質問 # 59
You are optimizing a Power Bl data model by using DAX Studio.
You need to capture the query events generated by a Power Bl Desktop report.
What should you use?
- A. an All Queries trace
- B. a Server Timings trace
- C. the DMV list
- D. a Query Plan trace
正解：A
解説：
The All Queries trace in Dax Studio supports capturing the query events from all client tools (not just queries sent from DAX Studio like the Query Plan and Server Timings features do). The 'All Queries" trace is really useful when you wish to see the queries that are generated by a client tool like Power BI Desktop.
質問 # 60
You need to configure a source control solution for Azure Synapse Analytics. The solution must meet the following requirements:
* Code must always be merged to the main branch before being published, and the main branch must be used for publishing resource
* The workspace templates must be stored in the publish branch.
* A branch named dev123 will be created to support the development of a new feature.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 61
You use Advanced Editor in Power Query Editor to edit a query that references two tables named Sales and
Commission. A sample of the data in the Sales table is shown in the following table.
A sample of the data in the Commission table is shown in the following table.
You need to merge the tables by using Power Query Editor without losing any rows in the Sales table.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 62
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.
正解：
解説：
質問 # 63
You are using GitHub as a source control solution for an Azure Synapse Studio workspace. You need to modify the source control solution to use an Azure DevOps Git repository. What should you do first?
- A. Disconnect from the GitHub repository.
- B. Change the active branch.
- C. Change the workspace to live mode.
- D. Create a new pull request.
正解：A
解説：
By default, Synapse Studio authors directly against the Synapse service. If you have a need for collaboration using Git for source control, Synapse Studio allows you to associate your workspace with a Git repository, Azure DevOps, or GitHub.
Prerequisites
Users must have the Azure Contributor (Azure RBAC) or higher role on the Synapse workspace to configure, edit settings and disconnect a Git repository with Synapse.
質問 # 64
You have a Power Bl data model.
You need to refresh the data from the source every 15 minutes.
What should you do first?
- A. Change the storage mode of the dataset.
- B. Enable the XMLA endpoint.
- C. Configure a scheduled refresh.
- D. Define an incremental refresh policy.
正解：B
解説：
You cannot schedule a refresh on 15-minute increments. Only 30, unless using XMLA endpoint.
質問 # 65
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 a data source and view for the Parquet files. You recommend updating the
query to use the view.
Does this meet the goal?
- A. No
- B. Yes
正解：B
質問 # 66
You are creating a Power Bl Desktop report.
You add a Python visual to the report page.
You plan to create a scatter chart to visualize the data.
You add Python code to the Python script editor.
You need to create the scatter chart.
How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 67
You have an Azure Synapse workspace named Workspace1.
You need to use PySpark in a notebook to read data from a SQL pool as an Apache Spark DataFrame and display the top five How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 68
You have a Power Bl dataset that contains the following measure.
You need to improve the performance of the measure without affecting the logic or the results. What should you do?
- A. Replace both calculate functions by using a variable that contains the calculate function.
- B. Remove the alternative result of blank( ) from the divide function.
- C. Remove "calendar'[Flag] = "YTD" from the code.
- D. Create a variable and replace the values for [sales Amount].
正解：A
質問 # 69
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 dataset named Datasetl.
In Dataset1, you currently have 50 measures that use the same time intelligence logic.
You need to reduce the number of measures, while maintaining the current functionality.
Solution: From DAX Studio, you write a query that uses grouping sets.
Does this meet the goal?
- A. No
- B. Yes
正解：A
質問 # 70
You have a Power BI tenant.
You plan to register the tenant in an Azure Purview account.
You need to ensure that you can scan the tenant by using Azure Purview.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. From the Power Bl Admin center, set Allow live connections to Enabled.
- B. From the Power Bl Admin center, set Share content with external users to Enabled.
- C. From the Azure Active Directory admin center, create a security group.
- D. From the Power Bl Admin center, set Allow service principals to use read-only Power Bl admin APIs to Enabled.
- E. From the Microsoft 365 admin center, create a Microsoft 365 group.
正解：C、D
解説：
Scan same-tenant Power BI using Azure IR and Managed Identity in public network.
Make sure Power BI and Microsoft Purview accounts are in the same tenant.
Make sure Power BI tenant Id is entered correctly during the registration.
From Azure portal, validate if Microsoft Purview account Network is set to public access.
From Power BI tenant Admin Portal, make sure Power BI tenant is configured to allow public network.
(D) In Azure Active Directory tenant, create a security group.
From Azure Active Directory tenant, make sure Microsoft Purview account MSI is member of the new security group.
On the Power BI Tenant Admin portal, validate if Allow service principals to use read-only Power BI admin APIs is enabled for the new security group.
Associate the security group with Power BI tenant
Log into the Power BI admin portal.
Select the Tenant settings page.
(C) Select Admin API settings > Allow service principals to use read-only Power BI admin APIs (Preview).
Select Specific security groups.
Select Admin API settings > Enhance admin APIs responses with detailed metadata > Enable the toggle to allow Microsoft Purview Data Map automatically discover the detailed metadata of Power BI datasets as part of its scans.
質問 # 71
You are creating a Python visual in Power Bl Desktop.
You need to retrieve the value of a column named Unit Price from a DataFrame.
How should you reference the Unit Price column in the Python code?
- A. data = [Unit Price]
- B. dataset['Unit Price']
- C. pandas.DataFrame('Unit Price')
- D. ('Unit Price')
正解：C
解説：
You can retrieve a column in a pandas DataFrame object by using the DataFrame object name, followed by the label of the column name in brackets.
So if the DataFrame object name is dataframe1 and the column we are trying to retrieve the 'X' column, then we retrieve the column using the statement, dataframe1['X'].
Here's a simple Python script that imports pandas and uses a data frame:
import pandas as pd
data = [['Alex',10],['Bob',12],['Clarke',13]]
df = pd.DataFrame(data,columns=['Name','Age'],dtype=float)
print (df)
When run, this script returns:
Name Age
0 Alex 10.0
1 Bob 12.0
2 Clarke 13.0
質問 # 72
You have an Azure Data Lake Storage Gen 2 container that stores more than 300,000 files representing hourly telemetry dat a. 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
正解：
解説：
Reference:
https://docs.microsoft.com/en-us/powerquery-m/table-selectrows
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-comparison-with-blob-storage
質問 # 73
You need to populate the CustomersWithProductScore table.
How should you complete the stored procedure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Topic 1, Litware, Inc. Overview
Litware, Inc. is a retail company that sells outdoor recreational goods and accessories. The company sells
goods both online and at its stores located in six countries.
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.
質問 # 74
You need to recommend a solution to ensure that sensitivity labels are applied. The solution must minimize administrative effort.
Which three actions should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. In SQLDW. apply sensitivity labels to the columns in the Customer and CustomersWithProductScore tables.
- B. From the Power Bl Admin portal, set Apply sensitivity labels from data sources to their data in Power Bl to Enabled.
- C. In the Power Bl datasets, apply sensitivity labels to the columns in the Customer and CustomersWithProductScore tables.
- D. From the Power Bl Admin portal, set Make certified content discoverable to Enabled.
- E. From the Power Bl Admin portal, set Allow users to apply sensitivity labels for Power Bl content to Enabled.
正解：C、D、E
解説：
A Synapse Analytics dedicated SQL pool is named SQLDW.
Customer contact data in SQLDW and the Power BI dataset must be labeled as Sensitive. Records must be kept of any users that use the sensitive data.
A (not B): Enable sensitivity labels
Sensitivity labels must be enabled on the tenant before they can be used in both the service and in Desktop.
To enable sensitivity labels on the tenant, go to the Power BI Admin portal, open the Tenant settings pane, and find the Information protection section.
In the Information Protection section, perform the following steps:
Open Allow users to apply sensitivity labels for Power BI content.
Enable the toggle.
D (not C): When data protection is enabled on your tenant, sensitivity labels appear in the sensitivity column in the list view of dashboards, reports, datasets, and dataflows.
E: Power BI Tenant Discovery Setting include Make certified content discoverable.
Reference:
https://docs.microsoft.com/en-us/power-bi/enterprise/service-security-apply-data-sensitivity-labels
https://support.nhs.net/knowledge-base/power-bi-guidance/
質問 # 75
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. Import for the external customers and import for the security team.
- B. DirectQuery for the external customers and import for the security team.
- C. Import for the external customers and DirectQuery for the security team.
- D. DirectQuery for the external customers and DirectQuery for the security team.
正解：B
質問 # 76
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. rollup
- C. describe
- D. explain
正解：C
解説：
The aggregating statistic can be calculated for multiple columns at the same time with the describe function.
Example:
titanic[["Age", "Fare"]].describe()
Out[6]:
Age Fare
count 714.000000 891.000000
mean 29.699118 32.204208
std 14.526497 49.693429
min 0.420000 0.000000
25% 20.125000 7.910400
50% 28.000000 14.454200
75% 38.000000 31.000000
max 80.000000 512.329200
質問 # 77
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 a data source and view for the Parquet files. You recommend updating the query to use the view.
Does this meet the goal?
- A. No
- B. Yes
正解：A
解説：
Solution: You recommend using OPENROWSET WITH to explicitly specify the maximum length for businessName and surveyName.
The size of the varchar(8000) columns are too big. Better reduce their size.
A SELECT...FROM OPENROWSET(BULK...) statement queries the data in a file directly, without importing the data into a table. SELECT...FROM OPENROWSET(BULK...) statements can also list bulk-column aliases by using a format file to specify column names, and also data types.
質問 # 78
You have a Power Bl dataset that contains two tables named Table1 and Table2. The dataset is used by one report.
You need to prevent project managers from accessing the data in two columns in Table1 named Budget and Forecast.
Which four 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.
正解：
解説：
1 - From Power BI Desktop, create a role named Project Managers.
2 - Open Tabular Editor
3 - From Power BI Desktop, add a DAX filter to the Project Managers role.
4 - For Table1, the Budget and Forecast columns, set the permissions to None.
質問 # 79
You have a shared dataset in Power Bl named Dataset1.
You have an on-premises Microsoft SQL Server database named DB1.
You need to ensure that Dataset1 refreshes data from DB1.
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.
正解：
解説：
1 - Install the on-premises data gateway (standard mode)
2 - From powerbi.com, add a data source to the gateway clusters
3 - From powerbi.com, configure Dataset1 to use a data gateway.
Reference:
https://docs.microsoft.com/en-us/power-bi/connect-data/service-gateway-sql-tutorial
https://docs.microsoft.com/en-us/power-bi/connect-data/service-gateway-enterprise-manage-sql
質問 # 80
You are configuring an aggregation table as shown in the following exhibit.
The detail table is named FactSales and the aggregation table is named FactSales(Agg).
You need to aggregate SalesAmount for each store.
Which type of summarization should you use for SalesAmount and StoreKey? To answer, select the
appropriate options in the answer area,
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 81
You use Azure Synapse Analytics and Apache Spark notebooks to You need to use PySpark to gain access to the visual libraries. Which Python libraries should you use?
- A. Matplotlib only
- B. Seaborn only
- C. TensorFlow only
- D. Seaborn and TensorFlow
- E. Matplotlib and Seaborn
- F. Matplotlib and TensorFlow
正解：E
解説：
Matplotlib
You can render standard plotting libraries, like Matplotlib, using the built-in rendering functions for each library.
Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.
Additional libraries
Beyond these libraries, the Azure Synapse Analytics Runtime also includes the following set of libraries that are often used for data visualization:
Seaborn
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
Reference:
https://seaborn.pydata.org/
質問 # 82
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Microsoft DP-500試験は、Microsoft AzureおよびMicrosoft Power BIを使用した企業規模のアナリティクスソリューションの設計および実装能力を評価するために設計されています。この試験は、Microsoft Certified: Azure Data Engineer Associate認定の一部であり、現代のデータウェアハウスソリューションの実装スキルを検証したいデータプロフェッショナルを対象としています。
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手に入れよう！最新DP-500認定の有効な試験問題集解答：https://drive.google.com/open?id=1njUFlD9HKIGozaydmvGQylL2CkjoU083