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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Administering Relational Databases on Microsoft Azure |
| Exam Number: | DP-300 |
| Exam Price: | 165 USD |
| Related Certifications: | Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate |
| Exam Format: | Drag and drop, Multiple select, Case studies, Multiple choice, Active screen |
| Available Languages: | Japanese, Spanish, Portuguese (Brazil), English, Korean, Chinese (Simplified), French, German |
| Real Exam Qty: | 40–60 |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Passing Score: | 700 |
| Recommended Training: | Microsoft Learn - DP-300 Learning Path Instructor-Led Course: Administering Relational Databases on Microsoft Azure |
| Exam Registration: | Pearson VUE Registration Microsoft Learn - Schedule Exam |
| Sample Questions: | Microsoft DP-300 Sample Questions |
| Exam Way: | Online proctored or at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended experience with Azure SQL services, SQL Server, database administration, and T-SQL |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-300 |
CertShikenはMicrosoftのDP-300「Administering Relational Databases on Microsoft Azure」試験に関する完全な資料を唯一のサービスを提供するサイトでございます。CertShikenが提供した問題集を利用してMicrosoftのDP-300試験は全然問題にならなくて、高い点数で合格できます。Microsoft DP-300試験の合格のために、CertShikenを選択してください。
DP-300試験は、Microsoft Azure上で関係データベースを管理するための幅広いトピックをカバーしています。試験には、インフラストラクチャの展開と構成、データベースの管理、セキュリティの実装、パフォーマンスの監視と最適化、高可用性ソリューションの実装などのトピックが含まれています。この試験は、これらのすべての領域での候補者の知識とスキルをテストするように設計されており、データベース管理者にとって包括的な認定資格となっています。
質問 # 257
You are designing a streaming data solution that will ingest variable volumes of data.
You need to ensure that you can change the partition count after creation.
Which service should you use to ingest the data?
正解：A
解説：
Section: [none]
Explanation:
The partition count for an event hub in a dedicated Event Hubs cluster can be increased after the event hub has been created.
Incorrect Answers:
A: For Azure Event standard hubs, the partition count isn't changeable, so you should consider long-term scale when setting partition count.
Reference:
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-features#partitions
質問 # 258
Hotspot Question
You have SQL Server on an Azure virtual machine that contains a database named Db1.
You need to enable automatic tuning for Db1.
How should you complete the statements? To answer, select the appropriate answer in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: SET QUERY_STORE = ON (OPERATION MODE = READ_WRITE);
As a pre-requisite, Query Store must be turned on.
Box 2: SET AUTOMATIC_TUNING (FORCE_LAST_GOOD_PLAN = ON)
To configure individual automatic tuning options via T-SQL, connect to the database and execute the query such as this one:
ALTER DATABASE current SET AUTOMATIC_TUNING (FORCE_LAST_GOOD_PLAN = ON) Setting the individual tuning option to ON will override any setting that database inherited and enable the tuning option.
Setting it to OFF will also override any setting that database inherited and disable the tuning option.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/automatic-tuning/automatic-tuning
https://docs.microsoft.com/en-us/azure/azure-sql/database/automatic-tuning-enable
質問 # 259
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 an Azure Data Lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes mapping data flow, and then inserts the data into the data warehouse.
Does this meet the goal?
正解：B
解説：
Explanation
If you need to transform data in a way that is not supported by Data Factory, you can create a custom activity, not a mapping flow,5 with your own data processing logic and use the activity in the pipeline. You can create a custom activity to run R scripts on your HDInsight cluster with R installed.
Reference:
https://docs.microsoft.com/en-US/azure/data-factory/transform-data
質問 # 260
HOTSPOT
You are building a database in an Azure Synapse Analytics serverless SQL pool.
You have data stored in Parquet files in an Azure Data Lake Storage Gen2 container.
Records are structured as shown in the following sample.
The records contain two applicants at most.
You need to build a table that includes only the address fields.
How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
正解：
解説：
Section: [none]
Explanation:
Box 1: CREATE EXTERNAL TABLE
An external table points to data located in Hadoop, Azure Storage blob, or Azure Data Lake Storage. External tables are used to read data from files or write data to files in Azure Storage. With Synapse SQL, you can use external tables to read external data using dedicated SQL pool or serverless SQL pool.
Syntax:
CREATE EXTERNAL TABLE { database_name.schema_name.table_name | schema_name.table_name | table_name } ( <column_definition> [ ,...n ] ) WITH ( LOCATION = 'folder_or_filepath', DATA_SOURCE = external_data_source_name, FILE_FORMAT = external_file_format_name Box 2. OPENROWSET When using serverless SQL pool, CETAS is used to create an external table and export query results to Azure Storage Blob or Azure Data Lake Storage Gen2.
Example:
AS
SELECT decennialTime, stateName, SUM(population) AS population
FROM
OPENROWSET(BULK 'https://azureopendatastorage.blob.core.windows.net/censusdatacontainer/release/ us_population_county/year=*/*.parquet', FORMAT='PARQUET') AS [r] GROUP BY decennialTime, stateName GO Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-external-tables
質問 # 261
You have a SQL Server on Azure Virtual Machines instance that hosts a database named Db1.
You need to configure the autogrow and autoshrink settings for DB1.
Which statements should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
https://learn.microsoft.com/en-us/troubleshoot/sql/admin/considerations-autogrow-autoshrink Basic Concept: This question tests plan and configure a high availability and disaster recovery (ha/dr) environment in the DP-300 exam context. The correct choice is determined by the exact service boundary and operational requirement stated in the scenario.
Why the selected answer is Correct: The selected values fit this scenario because they apply the required Azure SQL configuration at the correct scope and sequence: You need to configure the autogrow and autoshrink settings for DB1.
Why the alternate choices are Wrong: The alternate selections apply to different administrative stages or different scopes. In a hotspot or drag-drop task, order and scope are part of the answer, so a technically valid Azure feature can still be wrong if it is placed in the wrong step.
質問 # 262
......
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