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GoogleのProfessional-Data-Engineer日本語対策問題集認定試験は実は技術専門家を認証する試験です。GoogleのProfessional-Data-Engineer日本語対策問題集認定試験はIT人員が優れたキャリアを持つことを助けられます。優れたキャリアを持ったら、社会と国のために色々な利益を作ることができて、国の経済が継続的に発展していることを進められるようになります。 非常に人気があるGoogleの認定試験の一つとして、この試験も大切です。しかし、試験の準備をよりよくできるために試験参考書を探しているときに、優秀な参考資料を見つけるのはたいへん難しいことがわかります。 それはあなたが夢を実現することを助けられます。

Google Cloud Certified Professional-Data-Engineer 躊躇わなく、行動しましょう。

だから、弊社の提供するProfessional-Data-Engineer - Google Certified Professional Data Engineer Exam日本語対策問題集問題集を暗記すれば、きっと試験に合格できます。 Professional-Data-Engineer 資格認定試験資格証明書があれば、履歴書は他の人の履歴書より目立つようになります。現在、Professional-Data-Engineer 資格認定試験資格証明書の知名度がますます高くなっています。

Royalholidayclubbedは同業の中でそんなに良い地位を取るの原因は弊社のかなり正確な試験の練習問題と解答そえに迅速の更新で、このようにとても良い成績がとられています。そして、弊社が提供した問題集を安心で使用して、試験を安心で受けて、君のGoogle Professional-Data-Engineer日本語対策問題集認証試験の100%の合格率を保証しますす。RoyalholidayclubbedにたくさんのIT専門人士がいって、弊社の問題集に社会のITエリートが認定されて、弊社の問題集は試験の大幅カーバして、合格率が100%にまで達します。

Google Professional-Data-Engineer日本語対策問題集 - こうして、君は安心で試験の準備を行ってください。

GoogleのProfessional-Data-Engineer日本語対策問題集試験に合格することは容易なことではなくて、良い訓練ツールは成功の保証でRoyalholidayclubbedは君の試験の問題を準備してしまいました。君の初めての合格を目標にします。

専門的な知識が必要で、もしあなたはまだこの方面の知識を欠かれば、Royalholidayclubbedは君に向ける知識を提供いたします。Royalholidayclubbedの専門家チームは彼らの知識や経験を利用してあなたの知識を広めることを助けています。

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

 

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