Professional-Data-Engineer題庫資訊介紹

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Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning.
What should you do?
A. Build and train a text classification model using TensorFlow. Deploy the model using Cloud
Machine Learning Engine. Call the model from your application and process the results as labels.
B. Call the Cloud Natural Language API from your application. Process the generated Entity Analysis as labels.
C. Build and train a text classification model using TensorFlow. Deploy the model using a Kubernetes
Engine cluster. Call the model from your application and process the results as labels.
D. Call the Cloud Natural Language API from your application. Process the generated Sentiment
Analysis as labels.
Answer: D

QUESTION NO: 2
Your company is using WHILECARD tables to query data across multiple tables with similar names. The SQL statement is currently failing with the following error:
# Syntax error : Expected end of statement but got "-" at [4:11]
SELECT age
FROM
bigquery-public-data.noaa_gsod.gsod
WHERE
age != 99
AND_TABLE_SUFFIX = '1929'
ORDER BY
age DESC
Which table name will make the SQL statement work correctly?
A. 'bigquery-public-data.noaa_gsod.gsod*`
B. 'bigquery-public-data.noaa_gsod.gsod'*
C. 'bigquery-public-data.noaa_gsod.gsod'
D. bigquery-public-data.noaa_gsod.gsod*
Answer: A

QUESTION NO: 3
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

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 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

在短短幾年中,Google的Salesforce Health-Cloud-Accredited-Professional考試認證在日常生活中給人們造成了影響,但未來的關鍵問題是如何更有效的第一次通過Google的Salesforce Health-Cloud-Accredited-Professional考試認證?回答這個問題就是利用Shobhadoshi Google的Salesforce Health-Cloud-Accredited-Professional考試培訓資料,有了它便實現了你的第一次通過考試認證,你還在等什麼,去獲得Shobhadoshi Google的Salesforce Health-Cloud-Accredited-Professional考試培訓資料,有了它將得到更多你想要的東西。 我們的專家為你即將到來的考試提供學習資源,不僅僅在于學習, 更在于如何通過The Open Group OGEA-101考試。 Shobhadoshi Google的Pegasystems PEGACPLSA24V1考試培訓資料就是這樣成功的培訓資料,舍它其誰? 有了Google Huawei H20-712_V1.0認證考試的證書就相當於人生有了個新的里程牌,工作將會有很大的提升,相信作為IT行業人士的每個人都很想擁有吧。 EMC D-PVM-DS-01 - Shobhadoshi之所以能幫助每個IT人士,是因為它能證明它的能力。

Updated: May 27, 2022

Professional-Data-Engineer題庫資訊,Google Professional-Data-Engineer證照指南 & Google Certified Professional-Data-Engineer Exam

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考試編碼:Professional-Data-Engineer
考試名稱:Google Certified Professional Data Engineer Exam
更新時間:2025-06-07
問題數量:380題
Google Professional-Data-Engineer 考試心得

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軟體引擎

考試編碼:Professional-Data-Engineer
考試名稱:Google Certified Professional Data Engineer Exam
更新時間:2025-06-07
問題數量:380題
Google Professional-Data-Engineer 最新題庫資源

  下載免費試用


 

在線測試引擎

考試編碼:Professional-Data-Engineer
考試名稱:Google Certified Professional Data Engineer Exam
更新時間:2025-06-07
問題數量:380題
Google Professional-Data-Engineer 考題寶典

  下載免費試用


 

Professional-Data-Engineer 考試證照綜述

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