最近の数年間で、IT領域の継続的な発展と成長に従って、Professional-Data-Engineer受験資料更新版認証試験はもうGoogle試験のマイルストーンになりました。GoogleのProfessional-Data-Engineer受験資料更新版「Google Certified Professional Data Engineer Exam」の認証試験はあなたがIT分野のプロフェッショナルになることにヘルプを差し上げます。GoogleのProfessional-Data-Engineer受験資料更新版の試験問題を提供するウェブが何百ありますが、なぜ受験生は殆どShobhadoshiを選んだのですか。 早速買いに行きましょう。ShobhadoshiのGoogleのProfessional-Data-Engineer受験資料更新版試験トレーニング資料を使ったら、君のGoogleのProfessional-Data-Engineer受験資料更新版認定試験に合格するという夢が叶えます。 Shobhadoshiはあなたが自分の目標を達成することにヘルプを差し上げられます。

Google Cloud Certified Professional-Data-Engineer 「信仰は偉大な感情で、創造の力になれます。

弊社のProfessional-Data-Engineer - Google Certified Professional Data Engineer Exam受験資料更新版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受験資料更新版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。 IT業種で仕事しているあなたは、夢を達成するためにどんな方法を利用するつもりですか。実際には、IT認定試験を受験して認証資格を取るのは一つの良い方法です。

Google　Professional-Data-Engineer受験資料更新版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受験資料更新版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受験資料更新版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受験資料更新版 - 試験に失敗したら、全額で返金する承諾があります。

Shobhadoshiは最高な品質で最速なスピードでGoogleのProfessional-Data-Engineer受験資料更新版認定試験の資料を更新するサイトでございます。もしかすると君はほかのサイトもGoogleのProfessional-Data-Engineer受験資料更新版認証試験に関する資料があるのを見つけた、比較したらShobhadoshiが提供したのがいちばん全面的で品質が最高なことがわかりました。

我々の提供するPDF版のGoogleのProfessional-Data-Engineer受験資料更新版試験の資料はあなたにいつでもどこでも読めさせます。我々もオンライン版とソフト版を提供します。

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

Shobhadoshiは100%でGoogleのServiceNow CSA「Google Certified Professional Data Engineer Exam」認定試験に合格するのを保証いたします。 我々ShobhadoshiはGoogleのMicrosoft SC-100J試験問題集をリリースする以降、多くのお客様の好評を博したのは弊社にとって、大変な名誉なことです。 Microsoft GH-200 - Shobhadoshiのことに興味があったらネットで提供した部分資料をダウンロードしてください。 たとえば、ベストセラーのGoogle　Amazon ANS-C01-KR問題集は過去のデータを分析して作成ます。 HP HPE2-B07 - 弊社の無料なサンプルを遠慮なくダウンロードしてください。

Updated: May 27, 2022