요즘같이 시간인즉 금이라는 시대에 시간도 절약하고 빠른 시일 내에 학습할 수 있는 Goldmile-Infobiz의 덤프를 추천합니다. 귀중한 시간절약은 물론이고 한번에Google Professional-Data-Engineer덤프내용인증시험을 패스함으로 여러분의 발전공간을 넓혀줍니다. Goldmile-Infobiz는 여러 it인증에 관심 있고 또 응시하고 싶으신 분들에게 편리를 드립니다. 그리고 많은 분들이 이미 Goldmile-Infobiz제공하는 덤프로 it인증시험을 한번에 패스를 하였습니다. Goldmile-Infobiz는 고객님의 IT자격증취득의 작은 소원을 이루어지게 도워드리는 IT인증시험덤프를 제공해드리는 전문적인 사이트입니다.
Google Cloud Certified Professional-Data-Engineer IT인증시험은 국제적으로 인정받는 자격증을 취득하는 과정이라 난이도가 아주 높습니다.
Goldmile-Infobiz의 Google 인증 Professional-Data-Engineer - Google Certified Professional Data Engineer Exam덤프내용덤프는Google 인증 Professional-Data-Engineer - Google Certified Professional Data Engineer Exam덤프내용시험을 쉽게 만듭니다. IT업계 취업 준비생이라면 국제적으로도 승인받는 IT인증자격증 정도는 몇개 취득해야 하지 않을가 싶습니다. Google인증 Professional-Data-Engineer 인증자료시험을 통과하여 인기 자격증을 취득하시면 취업경쟁율이 제고되어 취업이 쉬워집니다.
Goldmile-Infobiz의 Google인증 Professional-Data-Engineer덤프내용덤프는 고객님이 시험에서 통과하여 중요한 IT인증자격증을 취득하게끔 도와드립니다. IT인증자격증은 국제적으로 인정받기에 취직이나 승진 혹은 이직에 힘을 가해드립니다. 학원공부나 다른 시험자료가 필요없이Goldmile-Infobiz의 Google인증 Professional-Data-Engineer덤프내용덤프만 공부하시면Google인증 Professional-Data-Engineer덤프내용시험을 패스하여 자격증을 취득할수 있습니다.
Google Professional-Data-Engineer덤프내용 - 우리의 파워는 아주 대단하답니다.
Goldmile-Infobiz는 여러분이 원하는 최신 최고버전의 Google 인증Professional-Data-Engineer덤프내용덤프를 제공합니다. Google 인증Professional-Data-Engineer덤프내용덤프는 IT업계전문가들이 끊임없는 노력과 지금까지의 경험으로 연구하여 만들어낸 제일 정확한 시험문제와 답들로 만들어졌습니다. Goldmile-Infobiz의 문제집으로 여러분은 충분히 안전이 시험을 패스하실 수 있습니다. 우리 Goldmile-Infobiz 의 문제집들은 모두 100%합격율을 자랑하며 Goldmile-Infobiz의 제품을 구매하였다면 Google 인증Professional-Data-Engineer덤프내용시험패스와 자격증 취득은 근심하지 않으셔도 됩니다. 여러분은 IT업계에서 또 한층 업그레이드 될것입니다.
이 자료로 여러분은 100%Google의Professional-Data-Engineer덤프내용인증시험을 패스할 수 있으며, Goldmile-Infobiz을 선택함으로 성공을 선택한 것입니다. Goldmile-Infobiz가 제공하는 시험가이드로 효과적인 학습으로 많은 분들이 모두 인증시험을 패스하였습니다.
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
Microsoft DP-700 - 주문하시면 바로 사이트에서 pdf파일을 다운받을수 있습니다. 우리Goldmile-Infobiz의 제품을 구매하신다고 하면 우리는 최선을 다하여 여러분들한테 최고의 버전을 제공함으로 한번에Google인증Medical Professional CCM시험을 패스하도록 하겠습니다. CompTIA 220-1102 - 날따라 새로운 시스템을 많이 개발하여 고객님께 더욱 편하게 다가갈수 있는 Goldmile-Infobiz가 되겠습니다. Goldmile-Infobiz의Google Workday Workday-Pro-Compensation인증시험의 자료 메뉴에는Google Workday Workday-Pro-Compensation인증시험실기와Google Workday Workday-Pro-Compensation인증시험 문제집으로 나누어져 있습니다.우리 사이트에서 관련된 학습가이드를 만나보실 수 있습니다. Goldmile-Infobiz는Google CompTIA CV0-004덤프를 시험문제변경에 따라 계속 갱신하여 고객님께서 받은 것이Google CompTIA CV0-004 시험의 가장 최신 기출문제임을 보증해드립니다.
Updated: May 27, 2022