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Google Cloud Certified Professional-Data-Engineer試験番号 - Google Certified Professional Data Engineer Exam たくさんのひとは弊社の商品を使って、試験に順調に合格しました。 君が後悔しないようにもっと少ないお金を使って大きな良い成果を取得するためにShobhadoshiを選択してください。Shobhadoshiはまた一年間に無料なサービスを更新いたします。
この情報の時代の中に、たくさんのIT機構はGoogleのProfessional-Data-Engineer試験番号認定試験に関する教育資料がありますけれども、受験生がこれらのサイトを通じて詳細な資料を調べられなくて、対応性がなくて受験生の注意 に惹かれなりません。
なぜ受験生のほとんどはShobhadoshiを選んだのですか。それはShobhadoshiがすごく便利で、広い通用性があるからです。ShobhadoshiのITエリートたちは彼らの専門的な目で、最新的なGoogleのProfessional-Data-Engineer試験番号試験トレーニング資料に注目していて、うちのGoogleのProfessional-Data-Engineer試験番号問題集の高い正確性を保証するのです。もし君はいささかな心配することがあるなら、あなたはうちの商品を購入する前に、Shobhadoshiは無料でサンプルを提供することができます。
このトレーニング資料を持っていたら、試験のために充分の準備をすることができます。そうしたら、試験に受かる信心も持つようになります。
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
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: 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
GoogleのMicrosoft MS-700-JPN認定試験に合格することはきっと君の職業生涯の輝い将来に大変役に立ちます。 Adobe AD0-E727 - この試験の認証資格を取ったら、あなたは多くの利益を得ることができます。 購入した前の無料の試み、購入するときのお支払いへの保障、購入した一年間の無料更新GoogleのHuawei H12-821_V1.0試験に失敗した全額での返金…これらは我々のお客様への承諾です。 SAP C_SIGDA_2403 - ですから、心のリラックスした状態で試験に出る問題を対応することができ、あなたの正常なレベルをプレイすることもできます。 Shobhadoshiは多くの受験生を助けて彼らにGoogleのNICET ITFAS-Level-1試験に合格させることができるのは我々専門的なチームがGoogleのNICET ITFAS-Level-1試験を研究して解答を詳しく分析しますから。
Updated: May 27, 2022
試験コード:Professional-Data-Engineer
試験名称:Google Certified Professional Data Engineer Exam
最近更新時間:2025-06-11
問題と解答:全 380 問
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試験コード:Professional-Data-Engineer
試験名称:Google Certified Professional Data Engineer Exam
最近更新時間:2025-06-11
問題と解答:全 380 問
Google Professional-Data-Engineer 資格トレーリング
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試験コード:Professional-Data-Engineer
試験名称:Google Certified Professional Data Engineer Exam
最近更新時間:2025-06-11
問題と解答:全 380 問
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