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Professional-Data-Engineerテスト模擬問題集、Professional-Data-Engineer資格取得講座 - Google Professional-Data-Engineer過去問 - Royalholidayclubbed
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あなたは自分の望ましいGoogle Professional-Data-Engineerテスト模擬問題集問題集を選らんで、学びから更なる成長を求められます。心はもはや空しくなく、生活を美しくなります。世の中に去年の自分より今年の自分が優れていないのは立派な恥です。 我々は力の限りにあなたにGoogleのProfessional-Data-Engineerテスト模擬問題集試験に合格します。GoogleのProfessional-Data-Engineerテスト模擬問題集試験を準備するのは残念ですが、合格してからあなたはITに関する仕事から美しい未来を持っています。 また、Professional-Data-Engineerテスト模擬問題集問題集に疑問があると、メールで問い合わせてください。
全力を尽くせば、Professional-Data-Engineerテスト模擬問題集試験の合格も可能となります。
Google Cloud Certified Professional-Data-Engineerテスト模擬問題集 - Google Certified Professional Data Engineer Exam 弊社の商品が好きなのは弊社のたのしいです。 このほど、今のIT会社は多くのIT技術人材を急速に需要して、あなたはこのラッキーな人になりたいですか？GoogleのProfessional-Data-Engineer 専門トレーリング試験に参加するのはあなたに自身のレベルを高めさせるだけでなく、あなたがより良く就職し輝かしい未来を持っています。弊社RoyalholidayclubbedはGoogleのProfessional-Data-Engineer 専門トレーリング問題集を購入し勉強した後、あなたはProfessional-Data-Engineer 専門トレーリング試験に合格することでできると信じています。
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Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
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: 2
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: 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
SAP C-S4CPB-2502 - 試験に合格するのは簡単ではないもよくわかりましょう。 あるいは、無料で試験IAPP AIGP問題集を更新してあげるのを選択することもできます。 Amazon SOA-C02-KR - そうしたら、完全な試験準備をして、気楽に試験を受かることができるようになります。 Fortinet FCP_ZCS_AD-7.4 - なぜ受験生のほとんどはRoyalholidayclubbedを選んだのですか。 Royalholidayclubbed はあなたに最新の試験研究資料を提供しますから、Royalholidayclubbed GoogleのHRCI GPHR問題集を持っていたら、試験に直面する自信に満ちることができ、合格しないなんて全然心配することはなく気楽に試験に受かることができます。
Updated: May 27, 2022
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