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Databricks-Certified-Data-Engineer-Associate学習体験談 & Databricks-Certified-Data-Engineer-Associate関連日本語内容

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DataBricks認定データエンジニアアソシエイト試験は、DataBricksプラットフォームと協力し、データパイプラインの設計と実装の経験があるデータエンジニア向けに設計されています。この試験では、データの摂取、変換、ストレージ、処理など、幅広いトピックをカバーしています。また、Spark Architecture、Performance Tuning、Optimizationなどの高度な概念もカバーしています。

認定試験は、データ・エンジニアリングに関連するデータ取り込み、データ処理、データ・ウェアハウジング、データ分析などのさまざまなトピックに焦点を当てています。また、ビッグデータ処理と分散コンピューティングの基礎もカバーしており、大規模なデータセットを扱いたいプロフェッショナルにとって理想的な認定資格です。

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Databricks Certified Data Engineer Associate Exam 認定 Databricks-Certified-Data-Engineer-Associate 試験問題 (Q31-Q36):

質問 # 31
Which of the following is hosted completely in the control plane of the classic Databricks architecture?

A. Driver node
B. Databricks web application
C. JDBC data source
D. Databricks Filesystem
E. Worker node

正解：B

解説：
Explanation
In the classic Databricks architecture, the control plane includes components like the Databricks web application, the Databricks REST API, and the Databricks Workspace. These components are responsible for managing and controlling the Databricks environment, including cluster provisioning, notebook management, access control, and job scheduling. The other options, such as worker nodes, JDBC data sources, Databricks Filesystem (DBFS), and driver nodes, are typically part of the data plane or the execution environment, which is separate from the control plane. Worker nodes are responsible for executing tasks and computations, JDBC data sources are used to connect to external databases, DBFS is a distributed file system for data storage, and driver nodes are responsible for coordinating the execution of Spark jobs.

質問 # 32
Which SQL keyword can be used to convert a table from a long format to a wide format?

A. SUM
B. TRANSFORM
C. PIVOT
D. CONVERT

正解：C

質問 # 33
A single Job runs two notebooks as two separate tasks. A data engineer has noticed that one of the notebooks is running slowly in the Job's current run. The data engineer asks a tech lead for help in identifying why this might be the case.
Which of the following approaches can the tech lead use to identify why the notebook is running slowly as part of the Job?

A. They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.
B. They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.
C. They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.
D. There is no way to determine why a Job task is running slowly.
E. They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.

正解：A

質問 # 34
A data engineer needs to apply custom logic to identify employees with more than 5 years of experience in array column employees in table stores. The custom logic should create a new column exp_employees that is an array of all of the employees with more than 5 years of experience for each row. In order to apply this custom logic at scale, the data engineer wants to use the FILTER higher-order function.
Which of the following code blocks successfully completes this task?

A. Option B
B. Option D
C. Option A
D. Option E
E. Option C

正解：C

質問 # 35
An engineering manager uses a Databricks SQL query to monitor ingestion latency for each data source. The manager checks the results of the query every day, but they are manually rerunning the query each day and waiting for the results.
Which of the following approaches can the manager use to ensure the results of the query are updated each day?

A. They can schedule the query to run every 1 day from the Jobs UI.
B. They can schedule the query to refresh every 12 hours from the SQL endpoint's page in Databricks SQL.
C. They can schedule the query to run every 12 hours from the Jobs UI.
D. They can schedule the query to refresh every 1 day from the SQL endpoint's page in Databricks SQL.
E. They can schedule the query to refresh every 1 day from the query's page in Databricks SQL.

正解：E

解説：
Databricks SQL allows users to schedule queries to run automatically at a specified frequency and time zone. This can help users to keep their dashboards or alerts updated with the latest data. To schedule a query, users need to do the following steps:
In the Query Editor, click Schedule > Add schedule to open a menu with schedule settings.
Choose when to run the query. Use the dropdown pickers to specify the frequency, period, starting time, and time zone. Optionally, select the Show cron syntax checkbox to edit the schedule in Quartz Cron Syntax.
Choose More options to show optional settings. Users can also choose a name for the schedule, and a SQL warehouse to power the query.
Click Create. The query will run automatically according to the schedule.
The other options are incorrect because they do not refer to the correct location or frequency to schedule the query. The query's page in Databricks SQL is the place where users can edit, run, or schedule the query. The SQL endpoint's page in Databricks SQL is the place where users can manage the SQL warehouses and SQL endpoints. The Jobs UI is the place where users can create, run, or schedule jobs that execute notebooks, JARs, or Python scripts. Reference: Schedule a query, What are Databricks SQL alerts?, Jobs.

質問 # 36
......

誰もが知っているように、最も重要な問題は学習者向けのDatabricks-Certified-Data-Engineer-Associate学習問題の質です。私たちは長年にわたってこの専門的なことを行ってきました。専門家に専門的な問題を処理させます。私たちに関しては、試験に合格するための最高のDatabricks-Certified-Data-Engineer-Associate試験問題を提供する自信があります。そして、最新のDatabricks-Certified-Data-Engineer-Associateテストガイドがあります。厳格な学習のみで、最新の専門的な学習資料を作成します。 Databricks-Certified-Data-Engineer-Associate試験問題は受験者が試験に合格するのに最も適していると言えます。

Databricks-Certified-Data-Engineer-Associate関連日本語内容: https://www.jpshiken.com/Databricks-Certified-Data-Engineer-Associate_shiken.html

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