Google Google Cloud Certified GCP-DE

IT-PassportsのGoogle Cloud Certified問題集を使って100％合格することが保証できます。

弊社は一発合格することを保証し、もし弊社の問題集GCP-DE 「Data Engineer」を使ってから、試験を通っていなかったら、弊社は全額を返金します。 弊社は一年以内に無料更新版を提供し、一発合格することを保証できます。

1、100％の本格的なGCP-DE試験問題集は過去の試験問題及び最新模擬試験問題から作られたものです。
2、業界最先端のGCP-DE模擬試験ｿﾌﾄは実際の試験雰囲気を模擬したものです。
3、GCP-DE試験科目は常時最新化され、最新の試験内容まで織込まれた精確性が有ります。
4、高価な講座を受ける必要はなく、20～30時間の独学だけで、一発合格が可能です！
5、GCP-DE Exhibits、Drag & Drop、Simulationには実際に行われた試験の様式を全て含めております。
6、GCP-DE試験科目を一度お買い上げ頂ければ、一年間無料で問題集をアップデートするサービスが付きます。
7、毎日２４時間インタネット上でGCP-DE技術サービス（無料）を提供致します。

一年間に無料で問題集を更新するサービスを提供します。

弊社の商品を買ったことがあるお客様に一年間無料更新のサービスを提供致します、ですので、貴方が持ってる問題集はきっと最新版でございます。

Google GCP-DE 「Data Engineer」はGoogle資格認定の重要な試験集です。該当アイクオリサートロジックGCP-DE模擬試験集は非常に理想的な試験に備えるツールと言えます。もし、GCP-DE模擬試験を御利用頂くと、以前の過去試験問題とほぼ同じの現行問題をご体験できます。全部の問題集は弊社の専業認証人員が念入りに編纂されたものです。ご受験者は高額教育活動にわざわざ参加する必要がなく、ただ20時間か30時間の気楽な一連の準備、勉強記憶及び模擬テストだけで、受験できます。100％一発合格！失敗一回なら、全額返金！

Google Data Engineer 認定 GCP-DE 試験問題:

1. An online retailer has built their current application on Google App Engine. A new initiative at the company mandates that they extend their application to allow their customers to transact directly via the application.
They need to manage their shopping transactions and analyze combined data from multiple datasets using a business intelligence (BI) tool. They want to use only a single database for this purpose. Which Google Cloud database should they choose?

A) Cloud BigTable
B) BigQuery
C) Cloud Datastore
D) Cloud SQL

2. You need to create a data pipeline that copies time-series transaction data so that it can be queried from within BigQuery by your data science team for analysis. Every hour, thousands of transactions are updated with a new status. The size of the intitial dataset is 1.5 PB, and it will grow by 3 TB per day. The data is heavily structured, and your data science team will build machine learning models based on this dat a. You want to maximize performance and usability for your data science team. Which two strategies should you adopt? Choose 2 answers.

A) Develop a data pipeline where status updates are appended to BigQuery instead of updated.
B) Denormalize the data as must as possible.
C) Use BigQuery'ssupport for external data sources to query.
D) Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro fil
E) Preserve the structure of the data as much as possible.
F) Use BigQuery UPDATE to further reduce the size of the dataset.

3. Cloud Dataproc is a managed Apache Hadoop and Apache service.

A) Spark
B) Blaze
C) Ignite
D) Fire

4. You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?

A) Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
B) Deploy the Cloud SQL Proxy on the Cloud Dataproc master
C) Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
D) Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role

5. You architect a system to analyze seismic dat
a. Your extract, transform, and load (ETL) process runs as a series of MapReduce jobs on an Apache Hadoop cluster. The ETL process takes days to process a data set because some steps are computationally expensive. Then you discover that a sensor calibration step has been omitted. How should you change your ETL process to carry out sensor calibration systematically in the future?

A) Introduce a new MapReduce job to apply sensor calibration to raw data, and ensure all other MapReduce jobs are chained after this.
B) Add sensor calibration data to the output of the ETL process, and document that all users need to apply sensor calibration themselves.
C) Develop an algorithm through simulation to predict variance of data output from the last MapReduce job based on calibration factors, and apply the correction to all data.
D) Modify the transformMapReduce jobs to apply sensor calibration before they do anything else.

質問と回答：