短時間で一番質高いGoogleのProfessional-Data-Engineer最新な問題集練習問題を探すことができますか？もしできなかったら、我々のProfessional-Data-Engineer最新な問題集試験資料を試していいですか？我が社のProfessional-Data-Engineer最新な問題集問題集は多くの専門家が数年間で努力している成果ですから、短い時間をかかってGoogleのProfessional-Data-Engineer最新な問題集試験に参加できて、予想以外の成功を得られます。それで、GoogleのProfessional-Data-Engineer最新な問題集に参加する予定がある人々は速く行動しましょう。 あなたに高品質で、全面的なProfessional-Data-Engineer最新な問題集参考資料を提供することは私たちの責任です。私たちより、Professional-Data-Engineer最新な問題集試験を知る人はいません。 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最新な問題集試験に合格するのを良く助けます。

Google Cloud Certified Professional-Data-Engineer 弊社の商品が好きなのは弊社のたのしいです。

Google Cloud Certified Professional-Data-Engineer最新な問題集 - Google Certified Professional Data Engineer Exam 今には、あなたにShobhadoshiを教えさせていただけませんか。 Shobhadoshi を選択して１００％の合格率を確保することができて、もし試験に失敗したら、Shobhadoshiが全額で返金いたします。

そうすれば、自分はProfessional-Data-Engineer最新な問題集試験問題集を買うかどうか決めることができます。あなたが私のProfessional-Data-Engineer最新な問題集トレーニングを勉強するとき、Professional-Data-Engineer最新な問題集トレーニングのインストールや使用に問題がある場合、私たちの24時間オンラインカスタマーサービスは、あなたの問題をタイムリーに解決できます。多くのお客様は私たちGoogle　Professional-Data-Engineer最新な問題集クイズに十分な信頼を持っています。

Google Professional-Data-Engineer最新な問題集 - Shobhadoshiを選んだら、成功への扉を開きます。

Shobhadoshiは異なるトレーニングツールと資源を提供してあなたのGoogleのProfessional-Data-Engineer最新な問題集の認証試験の準備にヘルプを差し上げます。編成チュートリアルは授業コース、実践検定、試験エンジンと一部の無料なPDFダウンロードを含めています。

問題が更新される限り、Shobhadoshiは直ちに最新版のProfessional-Data-Engineer最新な問題集資料を送ってあげます。そうすると、あなたがいつでも最新バージョンの資料を持っていることが保証されます。

Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?
A. Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
B. Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
C. Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
D. Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.
Answer: D
Explanation
It is recommended to create your Compute Engine instance in the same zone as your Cloud Bigtable instance for the best possible performance, If it's not possible to create a instance in the same zone, you should create your instance in another zone within the same region. For example, if your Cloud
Bigtable instance is located in us-central1-b, you could create your instance in us-central1-f. This change may result in several milliseconds of additional latency for each Cloud Bigtable request.
It is recommended to avoid creating your Compute Engine instance in a different region from your
Cloud Bigtable instance, which can add hundreds of milliseconds of latency to each Cloud Bigtable request.
Reference: https://cloud.google.com/bigtable/docs/creating-compute-instance

QUESTION NO: 4
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: 5
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

ACAMS CAMS - Shobhadoshiの解答は最も正確な解釈ですから、あなたがより良い知識を身につけることに助けになれます。 あるいは、無料で試験Salesforce Health-Cloud-Accredited-Professional問題集を更新してあげるのを選択することもできます。 GoogleのCloud Security Alliance CCSK認定試験に合格したいのなら、Shobhadoshiが提供したGoogleのCloud Security Alliance CCSKトレーニング資料をショッピングカートに入れましょう。 Microsoft SC-300 - なぜ受験生のほとんどはShobhadoshiを選んだのですか。 EMC D-NWR-DY-01 - Shobhadoshiが提供した製品がIT専門家は実際の経験を活かして作った最も良い製品で、あなたが自分の目標を達成するようにずっと一生懸命頑張っています。

Updated: May 27, 2022