Professional-Data-Engineerの無料問題集（380題）、Professional-Data-Engineer認定試験参考書

Google Professional-Data-Engineer 問題集

試験コード：Professional-Data-Engineer

試験名称：Google Certified Professional Data Engineer Exam

最近更新時間：2025-07-02

問題と解答：全380問

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質問 1：
When running a pipeline that has a BigQuery source, on your local machine, you continue to get permission denied errors. What could be the reason for that?
A. You are missing gcloud on your machine
B. Pipelines cannot be run locally
C. BigQuery cannot be accessed from local machines
D. Your gcloud does not have access to the BigQuery resources
正解：D
解説: (Topexam メンバーにのみ表示されます)

質問 2：
You are migrating a large number of files from a public HTTPS endpoint to Cloud Storage. The files are protected from unauthorized access using signed URLs. You created a TSV file that contains the list of object URLs and started a transfer job by using Storage Transfer Service. You notice that the job has run for a long time and eventually failed Checking the logs of the transfer job reveals that the job was running fine until one point, and then it failed due to HTTP 403 errors on the remaining files You verified that there were no changes to the source system You need to fix the problem to resume the migration process. What should you do?
A. Renew the TLS certificate of the HTTPS endpoint Remove the completed files from the TSV file and rerun the Storage Transfer Service job.
B. Update the file checksums in the TSV file from using MD5 to SHA256. Remove the completed files from the TSV file and rerun the Storage Transfer Service job.
C. Create a new TSV file for the remaining files by generating signed URLs with a longer validity period.Split the TSV file into multiple smaller files and submit them as separate Storage Transfer Service jobs in parallel.
D. Set up Cloud Storage FUSE, and mount the Cloud Storage bucket on a Compute Engine Instance Remove the completed files from the TSV file Use a shell script to iterate through the TSV file and download the remaining URLs to the FUSE mount point.
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 3：
You are working on a niche product in the image recognition domain. Your team has developed a model that is dominated by custom C++ TensorFlow ops your team has implemented. These ops are used inside your main training loop and are performing bulky matrix multiplications. It currently takes up to several days to train a model. You want to decrease this time significantly and keep the cost low by using an accelerator on Google Cloud. What should you do?
A. Use Cloud GPUs after implementing GPU kernel support for your customs ops.
B. Stay on CPUs, and increase the size of the cluster you're training your model on.
C. Use Cloud TPUs after implementing GPU kernel support for your customs ops.
D. Use Cloud TPUs without any additional adjustment to your code.
正解：C

質問 4：
After migrating ETL jobs to run on BigQuery, you need to verify that the output of the migrated jobs is the same as the output of the original. You've loaded a table containing the output of the original job and want to compare the contents with output from the migrated job to show that they are identical. The tables do not contain a primary key column that would enable you to join them together for comparison.
What should you do?
A. Select random samples from the tables using the HASH() function and compare the samples.
B. Use a Dataproc cluster and the BigQuery Hadoop connector to read the data from each table and calculate a hash from non-timestamp columns of the table after sorting. Compare the hashes of each table.
C. Create stratified random samples using the OVER() function and compare equivalent samples from each table.
D. Select random samples from the tables using the RAND() function and compare the samples.
正解：A

質問 5：
What is the recommended action to do in order to switch between SSD and HDD storage for your Google Cloud Bigtable instance?
A. the selection is final and you must resume using the same storage type
B. export the data from the existing instance and import the data into a new instance
C. run parallel instances where one is HDD and the other is SDD
D. create a third instance and sync the data from the two storage types via batch jobs
正解：B
解説: (Topexam メンバーにのみ表示されます)

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Google Professional-Data-Engineer 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Designing data processing systems: It delves into designing for security and compliance, reliability and fidelity, flexibility and portability, and data migrations.
トピック 2	Maintaining and automating data workloads: It discusses optimizing resources, automation and repeatability design, and organization of workloads as per business requirements. Lastly, the topic explains monitoring and troubleshooting processes and maintaining awareness of failures.
トピック 3	Preparing and using data for analysis: Questions about data for visualization, data sharing, and assessment of data may appear.
トピック 4	Storing the data: This topic explains how to select storage systems and how to plan using a data warehouse. Additionally, it discusses how to design for a data mesh.
トピック 5	Ingesting and processing the data: The topic discusses planning of the data pipelines, building the pipelines, acquisition and import of data, and deploying and operationalizing the pipelines.

参照：https://cloud.google.com/certification/data-engineer

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