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Professional-Data-Engineer試験準備 - Google Certified Professional-Data-Engineer Exam日本語版復習資料 - Royalholidayclubbed
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我々は心からあなたが首尾よく試験に合格することを願っています。あなたに便利なオンラインサービスを提供して、Google Professional-Data-Engineer試験準備試験問題についての全ての質問を解決して差し上げます。RoyalholidayclubbedのGoogleのProfessional-Data-Engineer試験準備試験問題資料は質が良くて値段が安い製品です。 全日でのオンライン係員、GoogleのProfessional-Data-Engineer試験準備試験資料のデモ、豊富なバーション、GoogleのProfessional-Data-Engineer試験準備試験資料を購入した後の無料更新、試験に失敗した後の全額の返金…これら全部は我々Royalholidayclubbedが信頼される理由です。あなたは我々のソフトを通してGoogleのProfessional-Data-Engineer試験準備試験に順調に合格したら、私たちの共同の努力を覚えられると希望します。 優れたキャリアを持ったら、社会と国のために色々な利益を作ることができて、国の経済が継続的に発展していることを進められるようになります。
Google Cloud Certified Professional-Data-Engineer その夢は私にとってはるか遠いです。
弊社のProfessional-Data-Engineer - Google Certified Professional Data Engineer Exam試験準備試験問題集によって、あなたの心と精神の満足度を向上させながら、勉強した後Professional-Data-Engineer - Google Certified Professional Data Engineer Exam試験準備試験資格認定書を受け取って努力する人生はすばらしいことであると認識られます。 さて、はやく試験を申し込みましょう。Royalholidayclubbedはあなたを助けることができますから、心配する必要がないですよ。
Google Professional-Data-Engineer試験準備試験問題集を購買してから、一年間の無料更新を楽しみにしています。あなたにGoogle Professional-Data-Engineer試験準備試験に関する最新かつ最完備の資料を勉強させ、試験に合格させることだと信じます。もしあなたはProfessional-Data-Engineer試験準備試験に合格しなかったら、全額返金のことを承諾します。
Google Professional-Data-Engineer試験準備 - 試験に失敗したら、全額で返金する承諾があります。
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暇な時間だけでGoogleのProfessional-Data-Engineer試験準備試験に合格したいのですか。我々の提供するPDF版のGoogleのProfessional-Data-Engineer試験準備試験の資料はあなたにいつでもどこでも読めさせます。
Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
Which Google Cloud Platform service is an alternative to Hadoop with Hive?
A. Cloud Datastore
B. Cloud Bigtable
C. BigQuery
D. Cloud Dataflow
Answer: C
Explanation
Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data summarization, query, and analysis.
Google BigQuery is an enterprise data warehouse.
Reference: https://en.wikipedia.org/wiki/Apache_Hive
QUESTION NO: 2
You have an Apache Kafka Cluster on-prem with topics containing web application logs. You need to replicate the data to Google Cloud for analysis in BigQuery and Cloud Storage. The preferred replication method is mirroring to avoid deployment of Kafka Connect plugins.
What should you do?
A. Deploy the PubSub Kafka connector to your on-prem Kafka cluster and configure PubSub as a Sink connector. Use a Dataflow job to read fron PubSub and write to GCS.
B. Deploy a Kafka cluster on GCE VM Instances. Configure your on-prem cluster to mirror your topics to the cluster running in GCE. Use a Dataproc cluster or Dataflow job to read from Kafka and write to
GCS.
C. Deploy the PubSub Kafka connector to your on-prem Kafka cluster and configure PubSub as a
Source connector. Use a Dataflow job to read fron PubSub and write to GCS.
D. Deploy a Kafka cluster on GCE VM Instances with the PubSub Kafka connector configured as a Sink connector. Use a Dataproc cluster or Dataflow job to read from Kafka and write to GCS.
Answer: B
QUESTION NO: 3
You want to use Google Stackdriver Logging to monitor Google BigQuery usage. You need an instant notification to be sent to your monitoring tool when new data is appended to a certain table using an insert job, but you do not want to receive notifications for other tables. What should you do?
A. Using the Stackdriver API, create a project sink with advanced log filter to export to Pub/Sub, and subscribe to the topic from your monitoring tool.
B. In the Stackdriver logging admin interface, enable a log sink export to Google Cloud Pub/Sub, and subscribe to the topic from your monitoring tool.
C. In the Stackdriver logging admin interface, and enable a log sink export to BigQuery.
D. Make a call to the Stackdriver API to list all logs, and apply an advanced filter.
Answer: C
QUESTION NO: 4
You need to create a near real-time inventory dashboard that reads the main inventory tables in your BigQuery data warehouse. Historical inventory data is stored as inventory balances by item and location. You have several thousand updates to inventory every hour. You want to maximize performance of the dashboard and ensure that the data is accurate. What should you do?
A. Use the BigQuery streaming the stream changes into a daily inventory movement table. Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.
B. Use the BigQuery bulk loader to batch load inventory changes into a daily inventory movement table.
Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.
C. Leverage BigQuery UPDATE statements to update the inventory balances as they are changing.
D. Partition the inventory balance table by item to reduce the amount of data scanned with each inventory update.
Answer: C
QUESTION NO: 5
Your startup has never implemented a formal security policy. Currently, everyone in the company has access to the datasets stored in Google BigQuery. Teams have freedom to use the service as they see fit, and they have not documented their use cases. You have been asked to secure the data warehouse. You need to discover what everyone is doing. What should you do first?
A. Use the Google Cloud Billing API to see what account the warehouse is being billed to.
B. Use Stackdriver Monitoring to see the usage of BigQuery query slots.
C. Get the identity and access management IIAM) policy of each table
D. Use Google Stackdriver Audit Logs to review data access.
Answer: B
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Updated: May 27, 2022
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