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Professional-Data-Engineer日本語受験教科書 & Professional-Data-Engineer的中合格問題集 - Professional-Data-Engineer合格内容 - Royalholidayclubbed
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Google Cloud Certified Professional-Data-Engineer日本語受験教科書 - Google Certified Professional Data Engineer Exam はやくRoyalholidayclubbedのサイトをクリックしてください。 IT技術の急速な発展につれて、IT認証試験の問題は常に変更されています。したがって、RoyalholidayclubbedのProfessional-Data-Engineer 資格受験料問題集も絶えずに更新されています。
どんなツールかと聞きたいでしょう。それはもちろんRoyalholidayclubbedのProfessional-Data-Engineer日本語受験教科書問題集ですよ。Professional-Data-Engineer日本語受験教科書試験の準備をするとき、がむしゃらにITに関連する知識を学ぶのは望ましくない勉強法です。
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我々は販売者とお客様の間の信頼が重要でもらい難いのを知っています。我々はGoogleのProfessional-Data-Engineer日本語受験教科書ソフトであなたに専門と高効率を示して、最全面的な問題集と詳しい分析であなたに助けてGoogleのProfessional-Data-Engineer日本語受験教科書試験に合格して、最高のサービスであなたの信頼を得ています。あなたが試験に合格するのは我々への一番よい評価です。
試験が更新されているうちに、我々はGoogleのProfessional-Data-Engineer日本語受験教科書試験の資料を更新し続けています。できるだけ100％の通過率を保証使用にしています。
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
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
QUESTION NO: 3
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: 4
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: 5
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
その中の一部は暇な時間だけでGoogleのITIL ITIL-4-Specialist-Create-Deliver-and-Support試験を準備します。 Microsoft AI-900-CN - 自分の幸せは自分で作るものだと思われます。 あなたに安心にGoogleのMicrosoft PL-600Jソフトを購入させるために、我々は最も安全的な支払手段を提供します。 あなたは弊社の高品質Google Salesforce Service-Cloud-Consultant試験資料を利用して、一回に試験に合格します。 弊社のACAMS CAMS真題を入手して、試験に合格する可能性が大きくなります。
Updated: May 27, 2022
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