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正確的なProfessional-Data-Engineer資格難易度 &合格スムーズProfessional-Data-Engineerトレーリング学習 |ハイパスレートのProfessional-Data-Engineer試験資料

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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での候補者の能力を測定する困難なテストです。この試験は、データ処理、データストレージ、データ分析、データの視覚化、機械学習などのトピックをカバーする複数選択の質問で構成されています。この試験には、候補者がGoogleクラウドプラットフォームツールとサービスを使用して実際のデータエンジニアリングの問題を解決する能力を実証する必要がある実践的なタスクも含まれています。

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Professional-Data-Engineerトレーリング学習 & Professional-Data-Engineer試験資料

数年間でのIT認定試験資料向けの研究分析によって、我々社はこの業界のリーダーにだんだんなっています。弊社のチームは開発される問題集はとても全面で、受験生をGoogle　Professional-Data-Engineer試験に合格するのを良く助けます。周知のように、Google　Professional-Data-Engineer資格認定があれば、IT業界での発展はより簡単になります。

Google Professional-Data-Engineerの試験は、データエンジニアリングの概念や技術に深い理解が必要な、厳しい総合テストです。候補者はGoogle Cloud Platform、Hadoop、Spark、SQLなどの様々なツールやプラットフォームに精通している必要があります。この試験に合格することで、候補者は雇用主や同僚に対して、大量のデータを扱い、組織の特定のニーズに合わせた複雑なデータ処理システムを設計・構築するための知識とスキルを持っていることを証明できます。

Google Certified Professional Data Engineer Exam 認定 Professional-Data-Engineer 試験問題 (Q235-Q240):

質問 # 235
Which of these is NOT a way to customize the software on Dataproc cluster instances?

A. Modify configuration files using cluster properties
B. Log into the master node and make changes from there
C. Configure the cluster using Cloud Deployment Manager
D. Set initialization actions

正解：C

解説：
Explanation
You can access the master node of the cluster by clicking the SSH button next to it in the Cloud Console.
You can easily use the --properties option of the dataproc command in the Google Cloud SDK to modify many common configuration files when creating a cluster.
When creating a Cloud Dataproc cluster, you can specify initialization actions in executables and/or scripts that Cloud Dataproc will run on all nodes in your Cloud Dataproc cluster immediately after the cluster is set up. [https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/init-actions] Reference: https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/cluster-properties

質問 # 236
Your team is building a data lake platform on Google Cloud. As a part of the data foundation design, you are planning to store all the raw data in Cloud Storage You are expecting to ingest approximately 25 GB of data a day and your billing department is worried about the increasing cost of storing old dat a. The current business requirements are:
* The old data can be deleted anytime
* You plan to use the visualization layer for current and historical reporting
* The old data should be available instantly when accessed
* There should not be any charges for data retrieval.
What should you do to optimize for cost?

A. Create an Object Lifecycle Management policy to modify the storage class for data older than 30 days to coldline, 90 days to nearline. and 365 days to archive storage class Delete old data as needed.
B. Create an Object Lifecycle Management policy to modify the storage class for data older than 30 days to nearline, 90 days to coldline. and 365 days to archive storage class. Delete old data as needed.
C. Create the bucket with the Autoclass storage class feature.
D. Create an Object Lifecycle Management policy to modify the storage class for data older than 30 days to nearlme. 45 days to coldline. and 60 days to archive storage class Delete old data as needed.

正解：B

解説：
- Autoclass automatically moves objects between storage classes without impacting performance or availability, nor incurring retrieval costs. - It continuously optimizes storage costs based on access patterns without the need to set specific lifecycle management policies.

質問 # 237
Your company has a hybrid cloud initiative. You have a complex data pipeline that moves data between cloud provider services and leverages services from each of the cloud providers. Which cloud-native service should you use to orchestrate the entire pipeline?

A. Cloud Composer
B. Cloud Dataprep
C. Cloud Dataflow
D. Cloud Dataproc

正解：D

質問 # 238
You are operating a Cloud Dataflow streaming pipeline. The pipeline aggregates events from a Cloud Pub/Sub subscription source, within a window, and sinks the resulting aggregation to a Cloud Storage bucket. The source has consistent throughput. You want to monitor an alert on behavior of the pipeline with Cloud Stackdriver to ensure that it is processing dat
a. Which Stackdriver alerts should you create?

A. An alert based on a decrease of subscription/num_undelivered_messages for the source and a rate of change increase of instance/storage/used_bytes for the destination
B. An alert based on an increase of instance/storage/used_bytes for the source and a rate of change decrease of subscription/num_undelivered_messages for the destination
C. An alert based on an increase of subscription/num_undelivered_messages for the source and a rate of change decrease of instance/storage/used_bytes for the destination
D. An alert based on a decrease of instance/storage/used_bytes for the source and a rate of change increase of subscription/num_undelivered_messages for the destination

正解：C

質問 # 239
Your financial services company is moving to cloud technology and wants to store 50 TB of financial time-series data in the cloud. This data is updated frequently and new data will be streaming in all the time.
Your company also wants to move their existing Apache Hadoop jobs to the cloud to get insights into this data. Which product should they use to store the data?

A. Google Cloud Datastore
B. Google BigQuery
C. Cloud Bigtable
D. Google Cloud Storage

正解：C

質問 # 240
......

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