Goldmile-Infobizは受験者に向かって試験について問題を解決する受験資源を提供するサービスのサイトで、さまざまな受験生によって別のトレーニングコースを提供いたします。受験者はGoldmile-Infobizを通って順調に試験に合格する人がとても多くなのでGoldmile-InfobizがIT業界の中で高い名声を得ました。 Goldmile-InfobizのGoogleのProfessional-Data-Engineer日本語認定試験トレーニング資料の値段は手頃で、IT認証の受験生のみなさんによく適用します。Goldmile-InfobizのGoogleのProfessional-Data-Engineer日本語認定試験資料は同じシラバスに従って研究されたのです。 GoogleのProfessional-Data-Engineer日本語認定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。
Google Cloud Certified Professional-Data-Engineer もうこれ以上悩む必要がないですよ。
Google Cloud Certified Professional-Data-Engineer日本語認定 - Google Certified Professional Data Engineer Exam 何の問題があったらお気軽に聞いてください。 もっと重要なのは、この問題集はあなたが試験に合格することを保証できますから。この問題集よりもっと良いツールは何一つありません。
Professional-Data-Engineer日本語認定試験がユニバーサルになりましたから、あなたはGoldmile-Infobiz のGoogleのProfessional-Data-Engineer日本語認定試験問題と解答￥を利用したらきっと試験に合格するができます。それに、あなたに極大な便利と快適をもたらせます。実践の検査に何度も合格したこのサイトは試験問題と解答を提供しています。
Google Professional-Data-Engineer日本語認定 - Goldmile-Infobizを選んび、成功を選びます。
Goldmile-InfobizのGoogleのProfessional-Data-Engineer日本語認定試験トレーニング資料は全てのオンラインのトレーニング資料で一番よいものです。我々の知名度はとても高いです。これは受験生の皆さんが資料を利用した後の結果です。Goldmile-InfobizのGoogleのProfessional-Data-Engineer日本語認定試験トレーニング資料を選んだら、１００パーセントの成功率を保証します。もし失敗だったら、我々は全額で返金します。受験生の皆さんの重要な利益が保障できるようにGoldmile-Infobizは絶対信頼できるものです。
その権威性は言うまでもありません。うちのGoogleのProfessional-Data-Engineer日本語認定試験トレーニング資料を購入する前に、Goldmile-Infobizのサイトで、一部分のフリーな試験問題と解答をダンロードでき、試用してみます。
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
Goldmile-InfobizのGoogleのCompTIA 220-1102J「Google Certified Professional Data Engineer Exam」試験トレーニング資料はIT職員としてのあなたがIT試験に受かる不可欠なトレーニング資料です。 我々Goldmile-Infobizの専門家たちのGoogleのMicrosoft MS-102-KR試験問題集への更新と改善はあなたに試験の準備期間から成功させます。 これは間違いなくあなたがSalesforce Sales-101認定試験に合格することを保証できる問題集です。 Microsoft MD-102-JPN - 我々Goldmile-Infobizにあなたを助けさせてください。 なぜかと言うと、もちろんDatabricks Databricks-Certified-Professional-Data-Engineer認定試験がとても大切な試験ですから。
Updated: May 27, 2022