Databricks-Certified-Data-Engineer-Professionalの無料問題集（127題）、Databricks-Certified-Data-Engineer-Professional認定試験参考書

Databricks Databricks-Certified-Data-Engineer-Professional 問題集

試験コード：Databricks-Certified-Data-Engineer-Professional

試験名称：Databricks Certified Data Engineer Professional Exam

最近更新時間：2025-07-04

問題と解答：全127問

Databricks-Certified-Data-Engineer-Professional 無料でデモをダウンロード：

PDF版 Demo ソフト版 Demo オンライン版 Demo

無料問題集Databricks-Certified-Data-Engineer-Professional 資格取得

質問 1：
When evaluating the Ganglia Metrics for a given cluster with 3 executor nodes, which indicator would signal proper utilization of the VM's resources?
A. Bytes Received never exceeds 80 million bytes per second
B. The five Minute Load Average remains consistent/flat
C. Network I/O never spikes
D. Total Disk Space remains constant
E. CPU Utilization is around 75% Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
正解：E
解説: (Topexam メンバーにのみ表示されます)

質問 2：
A junior developer complains that the code in their notebook isn't producing the correct results in the development environment. A shared screenshot reveals that while they're using a notebook versioned with Databricks Repos, they're using a personal branch that contains old logic. The desired branch named dev-2.3.9 is not available from the branch selection dropdown.
Which approach will allow this developer to review the current logic for this notebook?
A. Use Repos to make a pull request use the Databricks REST API to update the current branch to dev-2.3.9
B. Merge all changes back to the main branch in the remote Git repository and clone the repo again
C. Use Repos to checkout the dev-2.3.9 branch and auto-resolve conflicts with the current branch
D. Use Repos to pull changes from the remote Git repository and select the dev-2.3.9 branch.
E. Use Repos to merge the current branch and the dev-2.3.9 branch, then make a pull request to sync with the remote repository
正解：D
解説: (Topexam メンバーにのみ表示されます)

質問 3：
Assuming that the Databricks CLI has been installed and configured correctly, which Databricks CLI command can be used to upload a custom Python Wheel to object storage mounted with the DBFS for use with a production job?
A. libraries
B. configure
C. workspace
D. fs
E. jobs
正解：D
解説: (Topexam メンバーにのみ表示されます)

質問 4：
Spill occurs as a result of executing various wide transformations. However, diagnosing spill requires one to proactively look for key indicators.
Where in the Spark UI are two of the primary indicators that a partition is spilling to disk?
A. Stage's detail screen and Executor's log files
B. Driver's and Executor's log files
C. Stage's detail screen and Query's detail screen
D. Query's detail screen and Job's detail screen
E. Executor's detail screen and Executor's log files
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 5：
The data architect has mandated that all tables in the Lakehouse should be configured as external Delta Lake tables.
Which approach will ensure that this requirement is met?
A. Whenever a database is being created, make sure that the location keyword is used Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
B. When configuring an external data warehouse for all table storage. leverage Databricks for all ELT.
C. When tables are created, make sure that the external keyword is used in the create table statement.
D. Whenever a table is being created, make sure that the location keyword is used.
E. When the workspace is being configured, make sure that external cloud object storage has been mounted.
正解：D
解説: (Topexam メンバーにのみ表示されます)

質問 6：
A data ingestion task requires a one-TB JSON dataset to be written out to Parquet with a target Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from part- file size of 512 MB. Because Parquet is being used instead of Delta Lake, built-in file-sizing features such as Auto-Optimize & Auto-Compaction cannot be used.
Which strategy will yield the best performance without shuffling data?
A. Set spark.sql.shuffle.partitions to 2,048 partitions (1TB*1024*1024/512), ingest the data, execute the narrow transformations, optimize the data by sorting it (which automatically repartitions the data), and then write to parquet.
B. Set spark.sql.files.maxPartitionBytes to 512 MB, ingest the data, execute the narrow transformations, and then write to parquet.
C. Set spark.sql.adaptive.advisoryPartitionSizeInBytes to 512 MB bytes, ingest the data, execute the narrow transformations, coalesce to 2,048 partitions (1TB*1024*1024/512), and then write to parquet.
D. Ingest the data, execute the narrow transformations, repartition to 2,048 partitions (1TB*
1024*1024/512), and then write to parquet.
E. Set spark.sql.shuffle.partitions to 512, ingest the data, execute the narrow transformations, and then write to parquet.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 7：
A member of the data engineering team has submitted a short notebook that they wish to schedule as part of a larger data pipeline. Assume that the commands provided below produce the logically correct results when run as presented.
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from

Which command should be removed from the notebook before scheduling it as a job?
A. Cmd 2
B. Cmd 5
C. Cmd 4
D. Cmd 3
E. Cmd 6
正解：E
解説: (Topexam メンバーにのみ表示されます)

弊社は失敗したら全額で返金することを承諾します

我々は弊社のDatabricks-Certified-Data-Engineer-Professional問題集に自信を持っていますから、試験に失敗したら返金する承諾をします。我々のDatabricks Databricks-Certified-Data-Engineer-Professionalを利用して君は試験に合格できると信じています。もし試験に失敗したら、我々は君の支払ったお金を君に全額で返して、君の試験の失敗する経済損失を減少します。

TopExamは君にDatabricks-Certified-Data-Engineer-Professionalの問題集を提供して、あなたの試験への復習にヘルプを提供して、君に難しい専門知識を楽に勉強させます。TopExamは君の試験への合格を期待しています。

弊社のDatabricks Databricks-Certified-Data-Engineer-Professionalを利用すれば試験に合格できます

弊社のDatabricks Databricks-Certified-Data-Engineer-Professionalは専門家たちが長年の経験を通して最新のシラバスに従って研究し出した勉強資料です。弊社はDatabricks-Certified-Data-Engineer-Professional問題集の質問と答えが間違いないのを保証いたします。

この問題集は過去のデータから分析して作成されて、カバー率が高くて、受験者としてのあなたを助けて時間とお金を節約して試験に合格する通過率を高めます。我々の問題集は的中率が高くて、100％の合格率を保証します。我々の高質量のDatabricks Databricks-Certified-Data-Engineer-Professionalを利用すれば、君は一回で試験に合格できます。

弊社は無料Databricks Databricks-Certified-Data-Engineer-Professionalサンプルを提供します

お客様は問題集を購入する時、問題集の質量を心配するかもしれませんが、我々はこのことを解決するために、お客様に無料Databricks-Certified-Data-Engineer-Professionalサンプルを提供いたします。そうすると、お客様は購入する前にサンプルをダウンロードしてやってみることができます。君はこのDatabricks-Certified-Data-Engineer-Professional問題集は自分に適するかどうか判断して購入を決めることができます。

Databricks-Certified-Data-Engineer-Professional試験ツール：あなたの訓練に便利をもたらすために、あなたは自分のペースによって複数のパソコンで設置できます。

一年間の無料更新サービスを提供します

君が弊社のDatabricks Databricks-Certified-Data-Engineer-Professionalをご購入になってから、我々の承諾する一年間の更新サービスが無料で得られています。弊社の専門家たちは毎日更新状態を検査していますから、この一年間、更新されたら、弊社は更新されたDatabricks Databricks-Certified-Data-Engineer-Professionalをお客様のメールアドレスにお送りいたします。だから、お客様はいつもタイムリーに更新の通知を受けることができます。我々は購入した一年間でお客様がずっと最新版のDatabricks Databricks-Certified-Data-Engineer-Professionalを持っていることを保証します。

安全的な支払方式を利用しています

Credit Cardは今まで全世界の一番安全の支払方式です。少数の手続きの費用かかる必要がありますとはいえ、保障があります。お客様の利益を保障するために、弊社のDatabricks-Certified-Data-Engineer-Professional問題集は全部Credit Cardで支払われることができます。

領収書について：社名入りの領収書が必要な場合、メールで社名に記入していただき送信してください。弊社はPDF版の領収書を提供いたします。

Databricks Certified Data Engineer Professional 認定 Databricks-Certified-Data-Engineer-Professional 試験問題:

1. Which of the following is true of Delta Lake and the Lakehouse?

A) Primary and foreign key constraints can be leveraged to ensure duplicate values are never entered into a dimension table.
B) Because Parquet compresses data row by row. strings will only be compressed when a character is repeated multiple times.
C) Z-order can only be applied to numeric values stored in Delta Lake tables
D) Views in the Lakehouse maintain a valid cache of the most recent versions of source tables at all times.
E) Delta Lake automatically collects statistics on the first 32 columns of each table which are leveraged in data skipping based on query filters.

2. A task orchestrator has been configured to run two hourly tasks. First, an outside system writes Parquet data to a directory mounted at /mnt/raw_orders/. After this data is written, a Databricks job containing the following code is executed:
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from

Assume that the fields customer_id and order_id serve as a composite key to uniquely identify each order, and that the time field indicates when the record was queued in the source system.
If the upstream system is known to occasionally enqueue duplicate entries for a single order hours apart, which statement is correct?

A) Duplicate records enqueued more than 2 hours apart may be retained and the orders table may contain duplicate records with the same customer_id and order_id.
B) The orders table will contain only the most recent 2 hours of records and no duplicates will be present.
C) The orders table will not contain duplicates, but records arriving more than 2 hours late will be ignored and missing from the table.
D) Duplicate records arriving more than 2 hours apart will be dropped, but duplicates that arrive in the same batch may both be written to the orders table.
E) All records will be held in the state store for 2 hours before being deduplicated and committed to the orders table.

3. A junior developer complains that the code in their notebook isn't producing the correct results in the development environment. A shared screenshot reveals that while they're using a notebook versioned with Databricks Repos, they're using a personal branch that contains old logic. The desired branch named dev-2.3.9 is not available from the branch selection dropdown.
Which approach will allow this developer to review the current logic for this notebook?

A) Use Repos to make a pull request use the Databricks REST API to update the current branch to dev-2.3.9
B) Merge all changes back to the main branch in the remote Git repository and clone the repo again
C) Use Repos to checkout the dev-2.3.9 branch and auto-resolve conflicts with the current branch
D) Use Repos to pull changes from the remote Git repository and select the dev-2.3.9 branch.
E) Use Repos to merge the current branch and the dev-2.3.9 branch, then make a pull request to sync with the remote repository

4. Each configuration below is identical to the extent that each cluster has 400 GB total of RAM 160 total cores and only one Executor per VM.
Given an extremely long-running job for which completion must be guaranteed, which cluster configuration will be able to guarantee completion of the job in light of one or more VM failures?

A) - Total VMs: 1
- 400 GB per Executor
- 160 Cores/Executor
B) - Total VMs: 8
- 50 GB per Executor
- 20 Cores / Executor
C) - Total VMs: 4
- 100 GB per Executor
- 40 Cores / Executor
D) - Total VMs: 2
- 200 GB per Executor
- 80 Cores / Executor
E) - Total VMs: 16
- 25 GB per Executor
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
- 10 Cores / Executor

5. Which statement regarding spark configuration on the Databricks platform is true?

A) Spark configuration set within an notebook will affect all SparkSession attached to the same interactive cluster
B) Spark configuration properties set for an interactive cluster with the Clusters UI will impact all notebooks attached to that cluster.
C) Spark configuration properties can only be set for an interactive cluster by creating a global init script.
D) When the same spar configuration property is set for an interactive to the same interactive cluster.
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
E) The Databricks REST API can be used to modify the Spark configuration properties for an interactive cluster without interrupting jobs.

質問と回答：

質問 # 1
正解： E

質問 # 2
正解： A

質問 # 3
正解： D

質問 # 4
正解： E

質問 # 5
正解： B