Goldmile-Infobiz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。 弊社はあなたに相応しくて品質高いProfessional-Data-Engineer問題集問題集を提供します。また、あなたの持っている問題集は一年間の無料更新を得られています。 Goldmile-Infobizが提供したGoogleのProfessional-Data-Engineer問題集「Google Certified Professional Data Engineer Exam」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。
Google Cloud Certified Professional-Data-Engineer あなたは勇敢な人ですか。
Google Cloud Certified Professional-Data-Engineer問題集 - Google Certified Professional Data Engineer Exam 弊社は君の試験に合格させるとともにまた一年の無料の更新のサービスも提供し、もし試験に失敗したら全額で返金いたします。 Goldmile-Infobizへ来てあなたがほしいヘルパーと試験の準備ツールを見つけることができますから。Goldmile-Infobizの資料はきっとあなたがProfessional-Data-Engineer 絶対合格試験の認証資格を取ることを助けられます。
この情報の時代には、IT業界にとても注目され、この強い情報技術業界にIT人材が得難いです。こうしてGoogle認定試験がとても重要になります。でも、この試験がとても難しくてIT者になりたい方が障害になっています。
彼らにGoogleのGoogle Professional-Data-Engineer問題集試験に合格させました。
現在、市場でオンラインのGoogleのProfessional-Data-Engineer問題集試験トレーニング資料はたくさんありますが、Goldmile-InfobizのGoogleのProfessional-Data-Engineer問題集試験トレーニング資料は絶対に最も良い資料です。我々Goldmile-Infobizはいつでも一番正確なGoogleのProfessional-Data-Engineer問題集資料を提供するように定期的に更新しています。それに、Goldmile-InfobizのGoogleのProfessional-Data-Engineer問題集試験トレーニング資料が一年間の無料更新サービスを提供しますから、あなたはいつも最新の資料を持つことができます。
何十ユーロだけでこのような頼もしいGoogleのProfessional-Data-Engineer問題集試験の資料を得ることができます。試験に合格してからあなたがよりよい仕事と給料がもらえるかもしれません。
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
Axis ANVE-JPN - Goldmile-Infobizのトレーニング資料を選んだら、あなたは一生で利益を受けることができます。 Genesys GCP-GCX-JPN - 今の社会はますます激しく変化しているから、私たちはいつまでも危機意識を強化します。 EXIN CDCS - 一番遠いところへ行った人はリスクを背負うことを恐れない人です。 あなたの取得したGoogle HP HPE0-J68-KR資格認定は、仕事中に核心技術知識を同僚に認可されるし、あなたの技術信頼度を増強できます。 CompTIA CV0-004J - Goldmile-Infobizの問題集を利用してからこのすべてが真であることがわかります。
Updated: May 27, 2022