GoogleのProfessional-Data-Engineer最新試験情報認定試験の最新教育資料はGoldmile-Infobizの専門チームが研究し続けてついに登場し、多くの人の夢が実現させることができます。今のIT業界の中で、自分の地位を固めたくて知識と情報技術を証明したいのもっとも良い方法がGoogleのProfessional-Data-Engineer最新試験情報認定試験でございます。がGoogleのProfessional-Data-Engineer最新試験情報「Google Certified Professional Data Engineer Exam」認定試験の合格書を取ったら仕事の上で大きな変化をもたらします。 我々のGoogleのProfessional-Data-Engineer最新試験情報ソフトはあなたのすべての需要を満たすのを希望します。問題集の全面性と権威性、GoogleのProfessional-Data-Engineer最新試験情報ソフトがPDF版、オンライン版とソフト版があるという資料のバーションの多様性、購入の前にデモの無料ダウンロード、購入の後でGoogleのProfessional-Data-Engineer最新試験情報ソフトの一年間の無料更新、これ全部は我々の誠の心を示しています。 Goldmile-Infobizは100%の合格率を保証するだけでなく、1年間の無料なオンラインの更新を提供しております。
Google Cloud Certified Professional-Data-Engineer 人生には様々な選択があります。
Professional-Data-Engineer - Google Certified Professional Data Engineer Exam最新試験情報認定試験の問題集は大勢の人の注目を集め、とても人気がある商品です。 このような保証があれば、Goldmile-InfobizのProfessional-Data-Engineer 日本語受験攻略問題集を購入しようか購入するまいかと躊躇する必要は全くないです。この問題集をミスすればあなたの大きな損失ですよ。
Professional-Data-Engineer最新試験情報試験に合格するには、関連する教材を探す必要があります。しかし、Googleのウエブサイトを見ると、すぐいいProfessional-Data-Engineer最新試験情報教材を手に入れることができます。私たちはあなたのProfessional-Data-Engineer最新試験情報試験に関する悩みを解決できます。
Google Professional-Data-Engineer最新試験情報認定試験はたいへん難しい試験ですね。
もしあなたはまだ合格のためにGoogle Professional-Data-Engineer最新試験情報に大量の貴重な時間とエネルギーをかかって一生懸命準備し、Google Professional-Data-Engineer最新試験情報「Google Certified Professional Data Engineer Exam」認証試験に合格するの近道が分からなくって、今はGoldmile-Infobizが有効なGoogle Professional-Data-Engineer最新試験情報認定試験の合格の方法を提供して、君は半分の労力で倍の成果を取るの与えています。
認証専門家や技術者及び全面的な言語天才がずっと最新のGoogleのProfessional-Data-Engineer最新試験情報試験を研究していて、最新のGoogleのProfessional-Data-Engineer最新試験情報問題集を提供します。ですから、君はうちの学習教材を安心で使って、きみの認定試験に合格することを保証します。
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