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Google Cloud Certified Professional-Data-Engineer 逆境は人をテストすることができます。
Google Cloud Certified Professional-Data-Engineer認証資格 - Google Certified Professional Data Engineer Exam これは一般的に認められている最高級の認証で、あなたのキャリアにヘルプを与えられます。 自分のレベルを高めたいですか。では、仕事に役に立つスキルをもっと身に付けましょう。
IT職員としてのあなたは切迫感を感じましたか。Goldmile-Infobizを選んだら、成功への扉を開きます。頑張ってください。
Google Professional-Data-Engineer認証資格 - いかがですか。
ここで私は明確にしたいのはGoldmile-InfobizのProfessional-Data-Engineer認証資格問題集の核心価値です。Goldmile-Infobizの問題集は100％の合格率を持っています。Goldmile-InfobizのProfessional-Data-Engineer認証資格問題集は多くのIT専門家の数年の経験の結晶で、高い価値を持っています。そのProfessional-Data-Engineer認証資格参考資料はIT認定試験の準備に使用することができるだけでなく、自分のスキルを向上させるためのツールとして使えることもできます。そのほか、もし試験に関連する知識をより多く知りたいなら、それもあなたの望みを満たすことができます。
あまりにも多くのIT認定試験と試験に関連する参考書を見ると、頭が痛いと感じていますか。一体どうしたらでしょうか。
Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
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: 2
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: 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
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: 5
MJTelco is building a custom interface to share data. They have these requirements:
* They need to do aggregations over their petabyte-scale datasets.
* They need to scan specific time range rows with a very fast response time (milliseconds).
Which combination of Google Cloud Platform products should you recommend?
A. Cloud Datastore and Cloud Bigtable
B. Cloud Bigtable and Cloud SQL
C. BigQuery and Cloud Bigtable
D. BigQuery and Cloud Storage
Answer: C
Google Associate-Cloud-Engineer - Goldmile-Infobizはあなたと一緒に君のITの夢を叶えるために頑張ります。 Microsoft DP-600J - 確かに、これは困難な試験です。 GoogleのASIS PSP試験ソフトを買ったあなたは一年間の無料更新サービスを得られて、GoogleのASIS PSPの最新の問題集を了解して、試験の合格に自信を持つことができます。 Goldmile-Infobizは最も安い値段で正確性の高いGoogleのISACA CISA-KR問題集を提供します。 IIA IIA-CIA-Part2 - Goldmile-Infobizの発展は弊社の商品を利用してIT認証試験に合格した人々から得た動力です。
Updated: May 27, 2022