Professional-Data-Engineer学習教材 & Google Certified Professional-Data-Engineer Exam入門知識 - Omgzlook

Omgzlookは多くの受験生を助けて彼らにGoogleのProfessional-Data-Engineer学習教材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Professional-Data-Engineer学習教材試験を研究して解答を詳しく分析しますから。試験が更新されているうちに、我々はGoogleのProfessional-Data-Engineer学習教材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。 OmgzlookのProfessional-Data-Engineer学習教材問題集は実際のProfessional-Data-Engineer学習教材認定試験と同じです。この問題集は実際試験の問題をすべて含めることができるだけでなく、問題集のソフト版はProfessional-Data-Engineer学習教材試験の雰囲気を完全にシミュレートすることもできます。 ただ、社会に入るIT卒業生たちは自分能力の不足で、Professional-Data-Engineer学習教材試験向けの仕事を探すのを悩んでいますか?それでは、弊社のGoogleのProfessional-Data-Engineer学習教材練習問題を選んで実用能力を速く高め、自分を充実させます。

Google Cloud Certified Professional-Data-Engineer これは絶対に賢明な決断です。

Google Cloud Certified Professional-Data-Engineer学習教材 - Google Certified Professional Data Engineer Exam 社会と経済の発展につれて、多くの人はIT技術を勉強します。 OmgzlookのGoogleのProfessional-Data-Engineer 模擬問題試験トレーニング資料はさまざまなコアロジックのテーマを紹介します。そうしたら知識を習得するだけでなく、色々な技術と科目も理解できます。

あなたにGoogle Professional-Data-Engineer学習教材試験に関する最新かつ最完備の資料を勉強させ、試験に合格させることだと信じます。もしあなたはProfessional-Data-Engineer学習教材試験に合格しなかったら、全額返金のことを承諾します。我々Omgzlookは一番行き届いたアフタサービスを提供します。

Google Professional-Data-Engineer学習教材 - しようがないわけではないです。

今の社会の中で、ネット上で訓練は普及して、弊社は試験問題集を提供する多くのネットの一つでございます。Omgzlookが提供したのオンライン商品がIT業界では品質の高い学習資料、受験生の必要が満足できるサイトでございます。

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Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
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: 2
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

QUESTION NO: 3
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: 4
Your startup has never implemented a formal security policy. Currently, everyone in the company has access to the datasets stored in Google BigQuery. Teams have freedom to use the service as they see fit, and they have not documented their use cases. You have been asked to secure the data warehouse. You need to discover what everyone is doing. What should you do first?
A. Use the Google Cloud Billing API to see what account the warehouse is being billed to.
B. Use Stackdriver Monitoring to see the usage of BigQuery query slots.
C. Get the identity and access management IIAM) policy of each table
D. Use Google Stackdriver Audit Logs to review data access.
Answer: B

QUESTION NO: 5
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

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Updated: May 27, 2022