我々にとって、Google Professional-Data-Engineer試験勉強過去問試験に参加する圧力を減らして備考効率を高めるのは大変名誉のことです。Google Professional-Data-Engineer試験勉強過去問試験を目前に控えて、不安なのですか。我々社のGoogle Professional-Data-Engineer試験勉強過去問問題集のソフト版を購買するに値するかまだ疑問がありますか。 弊社のProfessional-Data-Engineer試験勉強過去問のトレーニング資料を買ったら、一年間の無料更新サービスを差し上げます。もっと長い時間をもらって試験を準備したいのなら、あなたがいつでもサブスクリプションの期間を伸びることができます。 変化を期待したいあなたにGoogle Professional-Data-Engineer試験勉強過去問試験備考資料を提供する権威性のあるOmgzlookをお勧めさせていただけませんか。
Google Cloud Certified Professional-Data-Engineer Omgzlookには専門的なエリート団体があります。
そのほかに、Professional-Data-Engineer - Google Certified Professional Data Engineer Exam試験勉強過去問試験の合格率は高い、多くの受験者が試験に合格しました。 試験の目標が変わる限り、あるいは我々の勉強資料が変わる限り、すぐに更新して差し上げます。あなたのニーズをよく知っていていますから、あなたに試験に合格する自信を与えます。
今の競争の激しいのIT業界の中にGoogle Professional-Data-Engineer試験勉強過去問認定試験に合格して、自分の社会地位を高めることができます。弊社のIT業で経験豊富な専門家たちが正確で、合理的なGoogle Professional-Data-Engineer試験勉強過去問「Google Certified Professional Data Engineer Exam」認証問題集を作り上げました。 弊社の勉強の商品を選んで、多くの時間とエネルギーを節約こともできます。
Google Professional-Data-Engineer試験勉強過去問 - Omgzlookを選んだら、成功への扉を開きます。
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Omgzlookを選択してください。Omgzlookはまた一年間に無料なサービスを更新いたします。
このような素晴らしい資料をぜひ見逃さないでください。IT技術の急速な発展につれて、IT認証試験の問題は常に変更されています。
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
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 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: 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
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
EMC D-NWG-DS-00 - 受験者はOmgzlookを通って順調に試験に合格する人がとても多くなのでOmgzlookがIT業界の中で高い名声を得ました。 OmgzlookのGoogle Professional-Data-Engineer-JPN問題集は多くの受験生に検証されたものですから、高い成功率を保証できます。 Microsoft PL-600 - Googleの認証試験の合格書を取ってから更にあなたのIT業界での仕事にとても助けがあると思います。 OmgzlookのITエリートたちは彼らの専門的な目で、最新的なGoogleのMicrosoft PL-400J試験トレーニング資料に注目していて、うちのGoogleのMicrosoft PL-400J問題集の高い正確性を保証するのです。 Cisco 350-401J - もし試験に失敗したら、弊社が全額で返金いたします。
Updated: May 27, 2022