ShobhadoshiのGoogleのProfessional-Data-Engineer最新な問題集認証試験の問題集はソフトウェアベンダーがオーソライズした製品で、カバー率が高くて、あなたの大量の時間とエネルギーを節約できます。より効果的に試験に合格する方法がわからないなら、私は良いトレーニングサイトを選ぶというアドバイスを差し上げます。そうしたら半分の労力で二倍の効果を得ることができますから。 真剣にShobhadoshiのGoogle Professional-Data-Engineer最新な問題集問題集を勉強する限り、受験したい試験に楽に合格することができるということです。IT認定試験の中でどんな試験を受けても、ShobhadoshiのProfessional-Data-Engineer最新な問題集試験参考資料はあなたに大きなヘルプを与えることができます。 我々は低い価格と高品質の模擬問題で受験生の皆様に捧げています。

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GoogleのProfessional-Data-Engineer - Google Certified Professional Data Engineer Exam最新な問題集の認定試験に受かることはIT業種に従事している皆さんの夢です。 それは正確性が高くて、カバー率も広いです。あなたはShobhadoshiの学習教材を購入した後、私たちは一年間で無料更新サービスを提供することができます。

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Google Professional-Data-Engineer最新な問題集 - アフターサービスは会社を評価する重要な基準です。

今の社会の中で、ネット上で訓練は普及して、弊社は試験問題集を提供する多くのネットの一つでございます。Shobhadoshiが提供したのオンライン商品がIT業界では品質の高い学習資料、受験生の必要が満足できるサイトでございます。

お客様に自分に一番ふさわしいGoogleのProfessional-Data-Engineer最新な問題集試験の復習方式を提供するために、我々はGoogleのProfessional-Data-Engineer最新な問題集の資料の3つのバーションを提供します。PDF、オンライン版とソフト版です。

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

Google Professional-Data-Engineer-JPN - 試験問題と解答に関する質問があるなら、当社は直後に解決方法を差し上げます。 返金を願うのに対して、お客様はGoogle Generative-AI-Leaderに合格しない成績書を弊社に送付して、弊社は確認の後、支払い金額を全部返済します。 ShobhadoshiのGoogleのMicrosoft AI-900J試験問題資料は質が良くて値段が安い製品です。 我々社Shobhadoshiは試験政策の変化に応じて、GoogleのACAMS CAMS-CN問題集をタイムリーに更新しています。 SAP C_C4H47_2503 - 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。

Updated: May 27, 2022