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Google Certified Professional Data Engineer Exam Sample Questions (Q174-Q179):
NEW QUESTION # 174
Your new customer has requested daily reports that show their net consumption of Google Cloud compute resources and who used the resources. You need to quickly and efficiently generate these daily reports. What should you do?
- A. Filter data in Cloud Logging by project, resource, and user; then export the data in CSV format.
- B. Do daily exports of Cloud Logging data to BigQuery. Create views filtering by project, log type, resource, and user.
- C. Filter data in Cloud Logging by project, log type, resource, and user, then import the data into BigQuery.
- D. Export Cloud Logging data to Cloud Storage in CSV format. Cleanse the data using Dataprep, filtering by project, resource, and user.
Answer: A
Explanation:
https://cloud.google.com/logging/docs/view/logs-explorer-interface?cloudshell=true
NEW QUESTION # 175
You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
Which Google database service should you use?
- A. Cloud Bigtable
- B. Cloud SQL
- C. BigQuery
- D. Cloud Datastore
Answer: D
Explanation:
https://cloud.google.com/datastore/docs/concepts/overview
NEW QUESTION # 176
Your company is performing data preprocessing for a learning algorithm in Google Cloud Dataflow. Numerous data logs are being are being generated during this step, and the team wants to analyze them. Due to the dynamic nature of the campaign, the data is growing exponentially every hour.
The data scientists have written the following code to read the data for a new key features in the logs.
BigQueryIO.Read
.named("ReadLogData")
.from("clouddataflow-readonly:samples.log_data")
You want to improve the performance of this data read. What should you do?
- A. Use of both the Google BigQuery TableSchema and TableFieldSchema classes.
- B. Use .fromQuery operation to read specific fields from the table.
- C. Call a transform that returns TableRow objects, where each element in the PCollexction represents a single row in the table.
- D. Specify the TableReference object in the code.
Answer: C
NEW QUESTION # 177
Google Cloud Bigtable indexes a single value in each row. This value is called the
_______.
- A. unique key
- B. row key
- C. master key
- D. primary key
Answer: B
Explanation:
Cloud Bigtable is a sparsely populated table that can scale to billions of rows and thousands of columns, allowing you to store terabytes or even petabytes of data. A single value in each row is indexed; this value is known as the row key.
Reference: https://cloud.google.com/bigtable/docs/overview
NEW QUESTION # 178
You are building a data pipeline on Google Cloud. You need to prepare data using a casual method for a machine-learning process. You want to support a logistic regression model. You also need to monitor and adjust for null values, which must remain real-valued and cannot be removed. What should you do?
- A. Use Cloud Dataprep to find null values in sample source data. Convert all nulls to 0 using a Cloud Dataprep job.
- B. Use Cloud Dataflow to find null values in sample source data. Convert all nulls to using a custom script.
- C. Use Cloud Dataprep to find null values in sample source data. Convert all nulls to `none' using a Cloud Dataproc job.
- D. Use Cloud Dataflow to find null values in sample source data. Convert all nulls to `none' using a Cloud Dataprep job.
Answer: A
NEW QUESTION # 179
......
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