이는Goldmile-Infobiz 의 IT전문가가 오랜 시간동안 IT인증시험을 연구한 끝에 시험대비자료로 딱 좋은 덤프를 제작한 결과입니다. Google인증 Professional-Data-Engineer인기시험덤프는 수많은 덤프중의 한과목입니다. 다른 덤프들과 같이Google인증 Professional-Data-Engineer인기시험덤프 적중율과 패스율은 100% 보장해드립니다. Professional-Data-Engineer인기시험시험을 패스하여 자격증을 취득하고 싶은 분들은Goldmile-Infobiz제품을 추천해드립니다.온라인서비스를 찾아주시면 할인해드릴게요. Goldmile-Infobiz는Professional-Data-Engineer인기시험시험문제가 변경되면Professional-Data-Engineer인기시험덤프업데이트를 시도합니다. Goldmile-Infobiz의Google인증 Professional-Data-Engineer인기시험덤프는 시험패스율이 높아Google인증 Professional-Data-Engineer인기시험시험준비에 딱 좋은 공부자료입니다.
Google Cloud Certified Professional-Data-Engineer 승진이나 연봉인상을 꿈꾸면 승진과 연봉인상을 시켜주는 회사에 능력을 과시해야 합니다.
Google Professional-Data-Engineer - Google Certified Professional Data Engineer Exam인기시험덤프를 공부하여 시험에서 떨어지면 불합격성적표와 주문번호를 보내오시면 덤프비용을 환불해드립니다.구매전 데모를 받아 덤프문제를 체험해보세요. 사이트에서 데모를 다운받아 보시면 덤프의 일부분 문제를 먼저 풀어보실수 있습니다.구매후 덤프가 업데이트되면 업데이트버전을 무료로 드립니다. IT전문가들이 자신만의 경험과 끊임없는 노력으로 만든 최고의Google Professional-Data-Engineer 최신버전자료학습자료---- Goldmile-Infobiz의 Google Professional-Data-Engineer 최신버전자료덤프!
Goldmile-Infobiz의 Google Professional-Data-Engineer인기시험 덤프로 시험을 준비하면Google Professional-Data-Engineer인기시험시험패스를 예약한것과 같습니다. 가장 최근 출제된Google Professional-Data-Engineer인기시험시험문제를 바탕으로 만들어진 적중율 최고인 덤프로서 간단한 시험패스는 더는 꿈이 아닙니다. 덤프는 pdf파일과 온라인서비스로 되어있는데 pdf버전은 출력가능하고 온라인버전은 휴대폰에서도 작동가능합니다.
Google Professional-Data-Engineer인기시험 - 자격증 많이 취득하면 더욱 여유롭게 직장생활을 즐길수 있습니다.
Goldmile-Infobiz 는 아주 우수한 IT인증자료사이트입니다. 우리Goldmile-Infobiz에서 여러분은Google Professional-Data-Engineer인기시험인증시험관련 스킬과시험자료를 얻을수 있습니다. 여러분은 우리Goldmile-Infobiz 사이트에서 제공하는Google Professional-Data-Engineer인기시험관련자료의 일부분문제와답등 샘플을 무료로 다운받아 체험해볼 수 있습니다. 그리고Goldmile-Infobiz에서는Google Professional-Data-Engineer인기시험자료구매 후 추후 업데이트되는 동시에 최신버전을 무료로 발송해드립니다. 우리는Google Professional-Data-Engineer인기시험인증시험관련 모든 자료를 여러분들에서 제공할 것입니다. 우리의 IT전문 팀은 부단한 업계경험과 연구를 이용하여 정확하고 디테일 한 시험문제와 답으로 여러분을 어시스트 해드리겠습니다.
우리Goldmile-Infobiz 여러분은Professional-Data-Engineer인기시험시험관련 최신버전자료들을 얻을 수 있습니다. Goldmile-Infobiz을 선택함으로써 여러분은 성공도 선택한것이라고 볼수 있습니다.
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
Goldmile-Infobiz에는 베터랑의전문가들로 이루어진 연구팀이 잇습니다, 그들은 it지식과 풍부한 경험으로 여러 가지 여러분이Google인증Databricks Databricks-Certified-Professional-Data-Engineer시험을 패스할 수 있을 자료 등을 만들었습니다, Goldmile-Infobiz 에서는 일년무료 업뎃을 제공하며, Goldmile-Infobiz 의 덤프들은 모두 높은 정확도를 자랑합니다. Goldmile-Infobiz의 부지런한 IT전문가들이 자기만의 지식과 끊임없는 노력과 경험으로 최고의Google Oracle 1z0-809합습자료로Google Oracle 1z0-809인증시험을 응시하실 수 있습니다.Google Oracle 1z0-809인증시험은 IT업계에서의 비중은 아주 큽니다. ECCouncil 212-82 - 또한 일년무료 업뎃서비스를 제공합니다. Goldmile-Infobiz를 선택함으로, Goldmile-Infobiz는 여러분Google인증Microsoft AZ-104시험을 패스할 수 있도록 보장하고,만약 시험실패시 Goldmile-Infobiz에서는 덤프비용전액환불을 약속합니다. 비록Google The Open Group OGEA-101인증시험은 어렵지만 우리Goldmile-Infobiz의 문제집으로 가이드 하면 여러분은 아주 자신만만하게 응시하실 수 있습니다.
Updated: May 27, 2022