一番優秀なProfessional-Data-Engineer試験過去問 &合格スムーズProfessional-Data-Engineer勉強方法 |正確的なProfessional-Data-Engineer模擬試験最新版

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Google Professional-Data-Engineer認定試験は、データエンジニアリングに関連するさまざまな分野における候補者のスキルと知識を評価するために設計されています。この試験は、データ処理アーキテクチャ、データモデリング、データ取り込み、データ変換、およびデータストレージなどのトピックをカバーしています。候補者は、BigQuery、Cloud Storage、およびDataflowを含むGoogle Cloudテクノロジーについても強い理解を持っていることが期待されています。

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Google Certified Professional Data Engineer 試験は、Google Cloud Platform上でデータ処理システムを設計および構築する知識を持つ個人を対象として、Googleから提供されている認定試験です。この試験は、Google Cloud Platform上のデータ処理システム、機械学習、データ分析ツールに関する候補者の知識を試験するように作られています。

Google Certified Professional Data Engineer Exam 認定 Professional-Data-Engineer 試験問題 (Q217-Q222):

質問 # 217
You are designing a data warehouse in BigQuery to analyze sales data for a telecommunication service provider. You need to create a data model for customers, products, and subscriptions. All customers, products, and subscriptions can be updated monthly, but you must maintain a historical record of all data. You plan to use the visualization layer for current and historical reporting. You need to ensure that the data model is simple, easy-to-use, and cost-effective.
What should you do?

A. Create a normalized model with tables for each entity. Keep all input files in a Cloud Storage bucket to track historical data.
B. Create a denormalized model with nested and repeated fields. Update the table and use snapshots to track historical data.
C. Create a denormalized, append-only model with nested and repeated fields. Use the ingestion timestamp to track historical data.
D. Create a normalized model with tables for each entity. Use snapshots before updates to track historical data.

正解：C

質問 # 218
As your organization expands its usage of GCP, many teams have started to create their own projects.
Projects are further multiplied to accommodate different stages of deployments and target audiences.
Each project requires unique access control configurations. The central IT team needs to have access to all projects. Furthermore, data from Cloud Storage buckets and BigQuery datasets must be shared for use in other projects in an ad hoc way. You want to simplify access control management by minimizing the number of policies. Which two steps should you take? Choose 2 answers.

A. Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.
B. Create distinct groups for various teams, and specify groups in Cloud IAM policies.
C. For each Cloud Storage bucket or BigQuery dataset, decide which projects need access. Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.
D. Introduce resource hierarchy to leverage access control policy inheritance.
E. Use Cloud Deployment Manager to automate access provision.

正解：B、E

解説：
Explanation/Reference:

質問 # 219
You want to archive data in Cloud Storage. Because some data is very sensitive, you want to use the "Trust No One" (TNO) approach to encrypt your data to prevent the cloud provider staff from decrypting your dat a. What should you do?

A. Use gcloud kms keys create to create a symmetric key. Then use gcloud kms encrypt to encrypt each archival file with the key and unique additional authenticated data (AAD). Use gsutil cp to upload each encrypted file to the Cloud Storage bucket, and keep the AAD outside of Google Cloud.
B. Specify customer-supplied encryption key (CSEK) in the .boto configuration file. Use gsutil cp to upload each archival file to the Cloud Storage bucket. Save the CSEK in a different project that only the security team can access.
C. Specify customer-supplied encryption key (CSEK) in the .boto configuration file. Use gsutil cp to upload each archival file to the Cloud Storage bucket. Save the CSEK in Cloud Memorystore as permanent storage of the secret.
D. Use gcloud kms keys create to create a symmetric key. Then use gcloud kms encrypt to encrypt each archival file with the key. Use gsutil cp to upload each encrypted file to the Cloud Storage bucket. Manually destroy the key previously used for encryption, and rotate the key once and rotate the key once.

正解：D

質問 # 220
When you store data in Cloud Bigtable, what is the recommended minimum amount of stored data?

A. 500 TB
B. 1 GB
C. 1 TB
D. 500 GB

正解：C

解説：
Cloud Bigtable is not a relational database. It does not support SQL queries, joins, or multi- row transactions. It is not a good solution for less than 1 TB of data.
Reference:
https://cloud.google.com/bigtable/docs/overview#title_short_and_other_storage_options

質問 # 221
You are designing a basket abandonment system for an ecommerce company. The system will send a message to a user based on these rules:
No interaction by the user on the site for 1 hour

Has added more than $30 worth of products to the basket

Has not completed a transaction

You use Google Cloud Dataflow to process the data and decide if a message should be sent. How should you design the pipeline?

A. Use a session window with a gap time duration of 60 minutes.
B. Use a fixed-time window with a duration of 60 minutes.
C. Use a global window with a time based trigger with a delay of 60 minutes.
D. Use a sliding time window with a duration of 60 minutes.

正解：C

質問 # 222
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