Professional-Data-Engineer공부자료 Features

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IT인증시험문제는 수시로 변경됩니다. 이 점을 해결하기 위해Shobhadoshi의Google인증 Professional-Data-Engineer공부자료덤프도 시험변경에 따라 업데이트하도록 최선을 다하고 있습니다.시험문제 변경에 초점을 맞추어 업데이트를 진행한후 업데이트된Google인증 Professional-Data-Engineer공부자료덤프를 1년간 무료로 업데이트서비스를 드립니다.

Google Professional-Data-Engineer공부자료 - IT자격증 취득이 여느때보다 여느일보다 쉬워져 자격증을 많이 따는 꿈을 실현해드립니다.

Shobhadoshi는 IT인증자격증시험에 대비한 덤프공부가이드를 제공해드리는 사이트인데 여러분의 자격증 취득의 꿈을 이루어드릴수 있습니다. Google인증 Professional-Data-Engineer공부자료시험을 등록하신 분들은 바로Shobhadoshi의Google인증 Professional-Data-Engineer공부자료덤프를 데려가 주세요. 단기간에 시험패스의 기적을 가져다드리는것을 약속합니다.

Shobhadoshi에서 연구제작한 Google인증 Professional-Data-Engineer공부자료덤프는Google인증 Professional-Data-Engineer공부자료시험을 패스하는데 가장 좋은 시험준비 공부자료입니다. Shobhadoshi덤프공부자료는 엘리트한 IT전문자들이 자신의 노하우와 경험으로 최선을 다해 연구제작한 결과물입니다.IT인증자격증을 취득하려는 분들의 곁은Shobhadoshi가 지켜드립니다.

Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
MJTelco is building a custom interface to share data. They have these requirements:
* They need to do aggregations over their petabyte-scale datasets.
* They need to scan specific time range rows with a very fast response time (milliseconds).
Which combination of Google Cloud Platform products should you recommend?
A. Cloud Datastore and Cloud Bigtable
B. Cloud Bigtable and Cloud SQL
C. BigQuery and Cloud Bigtable
D. BigQuery and Cloud Storage
Answer: C

QUESTION NO: 2
You have Cloud Functions written in Node.js that pull messages from Cloud Pub/Sub and send the data to BigQuery. You observe that the message processing rate on the Pub/Sub topic is orders of magnitude higher than anticipated, but there is no error logged in Stackdriver Log Viewer. What are the two most likely causes of this problem? Choose 2 answers.
A. Publisher throughput quota is too small.
B. The subscriber code cannot keep up with the messages.
C. The subscriber code does not acknowledge the messages that it pulls.
D. Error handling in the subscriber code is not handling run-time errors properly.
E. Total outstanding messages exceed the 10-MB maximum.
Answer: B,D

QUESTION NO: 3
You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?
A. Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery
B. Store the data in a file in a regional Google Cloud Storage bucket. Use Cloud Dataflow to query
BigQuery and combine the data programmatically with the data stored in Google Cloud Storage.
C. Store the data in Google Cloud Datastore. Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore
D. Load the data every 30 minutes into a new partitioned table in BigQuery.
Answer: D

QUESTION NO: 4
Which of these rules apply when you add preemptible workers to a Dataproc cluster (select 2 answers)?
A. A Dataproc cluster cannot have only preemptible workers.
B. Preemptible workers cannot store data.
C. Preemptible workers cannot use persistent disk.
D. If a preemptible worker is reclaimed, then a replacement worker must be added manually.
Answer: A,B
Explanation
The following rules will apply when you use preemptible workers with a Cloud Dataproc cluster:
Processing only-Since preemptibles can be reclaimed at any time, preemptible workers do not store data.
Preemptibles added to a Cloud Dataproc cluster only function as processing nodes.
No preemptible-only clusters-To ensure clusters do not lose all workers, Cloud Dataproc cannot create preemptible-only clusters.
Persistent disk size-As a default, all preemptible workers are created with the smaller of 100GB or the primary worker boot disk size. This disk space is used for local caching of data and is not available through HDFS.
The managed group automatically re-adds workers lost due to reclamation as capacity permits.
Reference: https://cloud.google.com/dataproc/docs/concepts/preemptible-vms

QUESTION NO: 5
Your company is using WHILECARD tables to query data across multiple tables with similar names. The SQL statement is currently failing with the following error:
# Syntax error : Expected end of statement but got "-" at [4:11]
SELECT age
FROM
bigquery-public-data.noaa_gsod.gsod
WHERE
age != 99
AND_TABLE_SUFFIX = '1929'
ORDER BY
age DESC
Which table name will make the SQL statement work correctly?
A. 'bigquery-public-data.noaa_gsod.gsod*`
B. 'bigquery-public-data.noaa_gsod.gsod'*
C. 'bigquery-public-data.noaa_gsod.gsod'
D. bigquery-public-data.noaa_gsod.gsod*
Answer: A

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Updated: May 27, 2022

Professional-Data-Engineer공부자료 - Google Certified Professional-Data-Engineer Exam시험응시료

PDF Questions & Answers

Exam Code: Professional-Data-Engineer
Exam Name: Google Certified Professional Data Engineer Exam
Updated: June 10, 2025
Total Q&As:380
Google Professional-Data-Engineer 시험문제집

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Exam Code: Professional-Data-Engineer
Exam Name: Google Certified Professional Data Engineer Exam
Updated: June 10, 2025
Total Q&As:380
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Exam Code: Professional-Data-Engineer
Exam Name: Google Certified Professional Data Engineer Exam
Updated: June 10, 2025
Total Q&As:380
Google Professional-Data-Engineer 예상문제

  Free Download


 

Professional-Data-Engineer 시험덤프데모

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