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RoyalholidayclubbedのProfessional-Data-Engineer練習問題教材を購入したら、あなたは一年間の無料アップデートサービスを取得しました。試験問題集が更新されると、Royalholidayclubbedは直ちにあなたのメールボックスにProfessional-Data-Engineer練習問題問題集の最新版を送ります。あなたは試験の最新バージョンを提供することを要求することもできます。 Google Professional-Data-Engineer練習問題認証試験を通るために、いいツールが必要です。Google Professional-Data-Engineer練習問題認証試験について研究の資料がもっとも大部分になって、Royalholidayclubbedは早くてGoogle Professional-Data-Engineer練習問題認証試験の資料を集めることができます。 Royalholidayclubbedのウェブサイトに行ってもっとたくさんの情報をブラウズして、あなたがほしい試験Professional-Data-Engineer練習問題参考書を見つけてください。

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Royalholidayclubbedの専門家チームが君の需要を満たすために自分の経験と知識を利用してGoogleのProfessional-Data-Engineer練習問題認定試験対策模擬テスト問題集が研究しました。模擬テスト問題集と真実の試験問題がよく似ています。一目でわかる最新の出題傾向でわかりやすい解説と充実の補充問題があります。

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Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
You have a query that filters a BigQuery table using a WHERE clause on timestamp and ID columns. By using bq query - -dry_run you learn that the query triggers a full scan of the table, even though the filter on timestamp and ID select a tiny fraction of the overall data. You want to reduce the amount of data scanned by BigQuery with minimal changes to existing SQL queries. What should you do?
A. Recreate the table with a partitioning column and clustering column.
B. Create a separate table for each I
C. Use the LIMIT keyword to reduce the number of rows returned.
D. Use the bq query - -maximum_bytes_billed flag to restrict the number of bytes billed.
Answer: C

QUESTION NO: 4
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: 5
You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
* The user profile: What the user likes and doesn't like to eat
* The user account information: Name, address, preferred meal times
* The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schema. Which Google Cloud Platform product should you use?
A. BigQuery
B. Cloud Datastore
C. Cloud SQL
D. Cloud Bigtable
Answer: A

RoyalholidayclubbedのGoogleのACFE CFE-Fraud-Prevention-and-Deterrence「Google Certified Professional Data Engineer Exam」の試験トレーニング資料は検証した試験資料で、Royalholidayclubbedの専門的な実践経験に含まれています。 我々RoyalholidayclubbedはGoogleのOracle 1Z0-1059-24試験問題集をリリースする以降、多くのお客様の好評を博したのは弊社にとって、大変な名誉なことです。 NAHQ CPHQ認定試験もIT領域の幅広い認証を取得しました。 たとえば、ベストセラーのGoogle ISTQB CTAL-TM問題集は過去のデータを分析して作成ます。 Microsoft AI-102J - 当社のIT専門家が最も経験と資格があるプロな人々で、我々が提供したテストの問題と解答は実際の認定試験と殆ど同じです。

Updated: May 27, 2022

 

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