|
|
 |
Professional-Data-Engineer日本語版問題解説 & Professional-Data-Engineer基礎訓練 - Professional-Data-Engineer参考書内容 - Royalholidayclubbed
|
|
RHC Destination Reviews
Who Is Harpy?
Need More Information?
Royalholidayclubbed のGoogleのProfessional-Data-Engineer日本語版問題解説問題集はシラバスに従って、それにProfessional-Data-Engineer日本語版問題解説認定試験の実際に従って、あなたがもっとも短い時間で最高かつ最新の情報をもらえるように、弊社はトレーニング資料を常にアップグレードしています。弊社のProfessional-Data-Engineer日本語版問題解説のトレーニング資料を買ったら、一年間の無料更新サービスを差し上げます。もっと長い時間をもらって試験を準備したいのなら、あなたがいつでもサブスクリプションの期間を伸びることができます。 Royalholidayclubbedの問題集を買ったら1年間の無料オンラインのアップデートを提供する一方で、試験に失敗したら、お客様に全額で返金いたします。 あなたに成功に近づいて、夢の楽園に一歩一歩進めさせられます。
Google Cloud Certified Professional-Data-Engineer Royalholidayclubbedを選んだら、成功への扉を開きます。
Google Cloud Certified Professional-Data-Engineer日本語版問題解説 - Google Certified Professional Data Engineer Exam 明るい未来を準備してあげます。 したがって、RoyalholidayclubbedのProfessional-Data-Engineer 資格準備問題集も絶えずに更新されています。それに、Royalholidayclubbedの教材を購入すれば、Royalholidayclubbedは一年間の無料アップデート・サービスを提供してあげます。
Royalholidayclubbedというサイトは素晴らしいソースサイトで、GoogleのProfessional-Data-Engineer日本語版問題解説の試験材料、研究材料、技術材料や詳しい解答に含まれています。問題集が提供したサイトは近年で急速に増加しています。あなたは試験の準備をするときに見当もつかないかもしれません。
Google Professional-Data-Engineer日本語版問題解説 - 自分の幸せは自分で作るものだと思われます。
RoyalholidayclubbedのGoogleのProfessional-Data-Engineer日本語版問題解説試験トレーニング資料を手に入れたら、あなたは認定試験に合格する鍵を手に入れるというのに等しいです。この認定は君のもっと輝い職業生涯と未来に大変役に立ちます。それはあなたが私たちを信じて、Royalholidayclubbedを信じて、GoogleのProfessional-Data-Engineer日本語版問題解説試験トレーニング資料を信じることだけです。うちの学習教材の内容は正確性が高くて、GoogleのProfessional-Data-Engineer日本語版問題解説認定試験に合格する率は１００パッセントになっていました。
あなたは弊社の高品質Google Professional-Data-Engineer日本語版問題解説試験資料を利用して、一回に試験に合格します。RoyalholidayclubbedのGoogle Professional-Data-Engineer日本語版問題解説問題集は専門家たちが数年間で過去のデータから分析して作成されて、試験にカバーする範囲は広くて、受験生の皆様のお金と時間を節約します。
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
HashiCorp HCVA0-003 - Royalholidayclubbedを選ぶなら、きっと君に後悔させません。 Google NAHQ CPHQ試験認定書はIT職員野給料増加と仕事の昇進にとって、大切なものです。 API API-936 - あなたが順調に試験に合格するように。 多分、ACFE CFE-Lawテスト質問の数が伝統的な問題の数倍である。 我々のソフトは多くの受験生にGoogleのJuniper JN0-637試験に合格させました。
Updated: May 27, 2022
|
Copyright © 2006-2007 by RHC.
All rights
reserved. |
---------------
If you don't find what you are looking for here
to help you resolve your timeshare scam or Royal Holiday problem
please write to us at:
harpy @ royalholidayclubbed.com
www . Royal Holiday Clubbed . com
|
|