それで、速く我々OmgzlookのGoogle Professional-Data-Engineer合格資料試験問題集を入手しましょう。社会に入った後の私達は最もの責任があって、学習の時間は少なくなりました。IT領域により良く発展したいなら、Google Professional-Data-Engineer合格資料のような試験認定資格を取得するのは重要なことです。 暇の時間を利用して勉強します。努力すれば報われますなので、Google Professional-Data-Engineer合格資料資格認定を取得して自分の生活状況を改善できます。 Professional-Data-Engineer合格資料問題集は唯一無にな参考資料です。
Google Cloud Certified Professional-Data-Engineer Omgzlookを選られば、成功しましょう。
GoogleのProfessional-Data-Engineer - Google Certified Professional Data Engineer Exam合格資料の認定試験は君の実力を考察するテストでございます。 弊社のIT業で経験豊富な専門家たちが正確で、合理的なGoogle Professional-Data-Engineer 出題範囲認証問題集を作り上げました。 弊社の勉強の商品を選んで、多くの時間とエネルギーを節約こともできます。
きみはGoogleのProfessional-Data-Engineer合格資料認定テストに合格するためにたくさんのルートを選択肢があります。Omgzlookは君のために良い訓練ツールを提供し、君のGoogle認証試に高品質の参考資料を提供しいたします。あなたの全部な需要を満たすためにいつも頑張ります。
Google Professional-Data-Engineer合格資料 - きっと君に失望させないと信じています。
今あなたが無料でOmgzlookが提供したGoogleのProfessional-Data-Engineer合格資料認定試験の学習ガイドをダウンロードできます。それは受験者にとって重要な情報です。
我々は受験生の皆様により高いスピードを持っているかつ効率的なサービスを提供することにずっと力を尽くしていますから、あなたが貴重な時間を節約することに助けを差し上げます。Omgzlook GoogleのProfessional-Data-Engineer合格資料試験問題集はあなたに問題と解答に含まれている大量なテストガイドを提供しています。
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
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
SAP C_S4CPR_2408 - OmgzlookはきみのIT夢に向かって力になりますよ。 Omgzlookが提供したGoogleのEMC D-PEMX-DY-23トレーニング資料を利用したら、GoogleのEMC D-PEMX-DY-23認定試験に受かることはたやすくなります。 Omgzlookを利用したら、GoogleのSAP C_S4CS_2408試験に合格するのを心配することはないです。 IBM C1000-172 - あなたが自分のキャリアでの異なる条件で自身の利点を発揮することを助けられます。 当面の実際のテストを一致させるために、OmgzlookのGoogleのQlik QSDA2024問題集の技術者はずべての変化によって常に問題と解答をアップデートしています。
Updated: May 27, 2022