Professional-Data-Engineerの無料問題集（375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：2024-12-18

問題と解答：全375問

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質問 1：
Your organization uses a multi-cloud data storage strategy, storing data in Cloud Storage, and data in Amazon Web Services' (AWS) S3 storage buckets. All data resides in US regions. You want to query up-to-date data by using BigQuery. regardless of which cloud the data is stored in. You need to allow users to query the tables from BigQuery without giving direct access to the data in the storage buckets What should you do?
A. Set up a BigQuery Omni connection to the AWS S3 bucket data. Create external tables over the Cloud Storage and S3 data and query the data using BigQuery directly.
B. Use the Storage Transfer Service to copy data from the AWS S3 buckets to Cloud Storage buckets Create BigLake tables over the Cloud Storage data and query the data using BigQuery directly.
C. Use the Storage Transfer Service to copy data from the AWS S3 buckets to Cloud Storage buckets Create external tables over the Cloud Storage data and query the data using BigQuery directly
D. Set up a BigQuery Omni connection to the AWS S3 bucket data Create BigLake tables over the Cloud Storage and S3 data and query the data using BigQuery directly.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 2：
Your company uses a proprietary system to send inventory data every 6 hours to a data ingestion service in the cloud. Transmitted data includes a payload of several fields and the timestamp of the transmission. If there are any concerns about a transmission, the system re-transmits the dat a. How should you deduplicate the data most efficiency?
A. Maintain a database table to store the hash value and other metadata for each data entry.
B. Store each data entry as the primary key in a separate database and apply an index.
C. Assign global unique identifiers (GUID) to each data entry.
D. Compute the hash value of each data entry, and compare it with all historical data.
正解：A

質問 3：
You plan to deploy Cloud SQL using MySQL. You need to ensure high availability in the event of a zone failure. What should you do?
A. Create a Cloud SQL instance in one zone, and create a failover replica in another zone within the same region.
B. Create a Cloud SQL instance in a region, and configure automatic backup to a Cloud Storage bucket in the same region.
C. Create a Cloud SQL instance in one zone, and create a read replica in another zone within the same region.
D. Create a Cloud SQL instance in one zone, and configure an external read replica in a zone in a different region.
正解：D

質問 4：
You currently have a single on-premises Kafka cluster in a data center in the us-east region that is responsible for ingesting messages from IoT devices globally. Because large parts of globe have poor internet connectivity, messages sometimes batch at the edge, come in all at once, and cause a spike in load on your Kafka cluster. This is becoming difficult to manage and prohibitively expensive. What is the Google-recommended cloud native architecture for this scenario?
A. A Kafka cluster virtualized on Compute Engine in us-east with Cloud Load Balancing to connect to the devices around the world.
B. An IoT gateway connected to Cloud Pub/Sub, with Cloud Dataflow to read and process the messages from Cloud Pub/Sub.
C. Cloud Dataflow connected to the Kafka cluster to scale the processing of incoming messages.
D. Edge TPUs as sensor devices for storing and transmitting the messages.
正解：B

質問 5：
You work for a large fast food restaurant chain with over 400,000 employees. You store employee information in Google BigQuery in a Users table consisting of a FirstName field and a LastName field. A member of IT is building an application and asks you to modify the schema and data in BigQuery so the application can query a FullName field consisting of the value of the FirstName field concatenated with a space, followed by the value of the LastName field for each employee. How can you make that data available while minimizing cost?
A. Add a new column called FullName to the Users table. Run an UPDATE statement that updates the FullName column for each user with the concatenation of the FirstName and LastName values.
B. Create a view in BigQuery that concatenates the FirstName and LastName field values to produce the FullName.
C. Create a Google Cloud Dataflow job that queries BigQuery for the entire Users table, concatenates the FirstName value and LastName value for each user, and loads the proper values for FirstName, LastName, and FullName into a new table in BigQuery.
D. Use BigQuery to export the data for the table to a CSV file. Create a Google Cloud Dataproc job to process the CSV file and output a new CSV file containing the proper values for FirstName, LastName and FullName. Run a BigQuery load job to load the new CSV file into BigQuery.
正解：C

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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	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 2	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 3	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.
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	Preparing and using data for analysis: Questions about data for visualization, data sharing, and assessment of data may appear.

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

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