|
|
 |
Professional-Data-Engineer合格記 - Professional-Data-Engineer日本語受験攻略 & Google Certified Professional-Data-Engineer Exam - Royalholidayclubbed
|
|
RHC Destination Reviews
Who Is Harpy?
Need More Information?
競争力が激しい社会において、IT仕事をする人は皆、我々RoyalholidayclubbedのProfessional-Data-Engineer合格記を通して自らの幸せを筑く建筑士になれます。我が社のGoogleのProfessional-Data-Engineer合格記習題を勉強して、最も良い結果を得ることができます。我々のProfessional-Data-Engineer合格記習題さえ利用すれば試験の成功まで近くなると考えられます。 Royalholidayclubbedに会ったら、最高のトレーニング資料を見つけました。RoyalholidayclubbedのGoogleのProfessional-Data-Engineer合格記試験トレーニング資料を持っていたら、試験に対する充分の準備がありますから、安心に利用したください。 弊社RoyalholidayclubbedのProfessional-Data-Engineer合格記問題集は必ずあなたの成功へ道の秘訣です。
それはRoyalholidayclubbedのProfessional-Data-Engineer合格記問題集です。
他の人に先立ってGoogle Professional-Data-Engineer - Google Certified Professional Data Engineer Exam合格記認定資格を得るために、今から勉強しましょう。 もし不合格になったら、私たちは全額返金することを保証します。一回だけでGoogleのProfessional-Data-Engineer 日本語版参考書試験に合格したい？Royalholidayclubbedは君の欲求を満たすために存在するのです。
Google Professional-Data-Engineer合格記試験参考書に疑問を持たれば、Google会社のウエブサイトから無料でProfessional-Data-Engineer合格記試験のためのデモをダウンロードできます。Professional-Data-Engineer合格記試験参考書の高品質でProfessional-Data-Engineer合格記試験の受験者は弊社と長期的な協力関係を築いています。Professional-Data-Engineer合格記試験参考書はお客様の試験のために最も役に立つ商品だとも言えます。
Google Professional-Data-Engineer合格記 - 我々の誠意を信じてください。
RoyalholidayclubbedはIT試験問題集を提供するウエブダイトで、ここによく分かります。最もよくて最新で資料を提供いたします。こうして、君は安心で試験の準備を行ってください。弊社の資料を使って、１００％に合格を保証いたします。
自分のIT業界での発展を希望したら、GoogleのProfessional-Data-Engineer合格記試験に合格する必要があります。GoogleのProfessional-Data-Engineer合格記試験はいくつ難しくても文句を言わないで、我々Royalholidayclubbedの提供する資料を通して、あなたはGoogleのProfessional-Data-Engineer合格記試験に合格することができます。
Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
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: 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
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: 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
多くのGoogleのSalesforce Service-Cloud-Consultant-JPN認定試験を準備している受験生がいろいろなSalesforce Service-Cloud-Consultant-JPN「Google Certified Professional Data Engineer Exam」認証試験についてサービスを提供するサイトオンラインがみつけたがRoyalholidayclubbedはIT業界トップの専門家が研究した参考材料で権威性が高く、品質の高い教育資料で、一回に参加する受験者も合格するのを確保いたします。 弊社のISTQB CTAL-TM-KR問題集はあなたにこのチャンスを全面的に与えられます。 GoogleのAmazon SCS-C02-JPN認定試験に合格するためにたくさん方法があって、非常に少ないの時間とお金を使いのは最高で、Royalholidayclubbedが対応性の訓練が提供いたします。 短時間でMicrosoft DP-100試験に一発合格したいなら、我々社のGoogleのMicrosoft DP-100資料を参考しましょう。 Royalholidayclubbedが提供したGoogleのSAP C-TS410-2504試験問題と解答が真実の試験の練習問題と解答は最高の相似性があり、一年の無料オンラインの更新のサービスがあり、100%のパス率を保証して、もし試験に合格しないと、弊社は全額で返金いたします。
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
|
|