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NEW QUESTION 36
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 Dataflow to find null values in sample source data. Convert all nulls to `none' using a Cloud Dataprep job.
• B. Use Cloud Dataprep to find null values in sample source data. Convert all nulls to `none' using a Cloud Dataproc job.
• C. Use Cloud Dataprep to find null values in sample source data. Convert all nulls to 0 using a Cloud Dataprep job.
• D. Use Cloud Dataflow to find null values in sample source data. Convert all nulls to using a custom script.

Answer: C

NEW QUESTION 37
Which of the following is NOT a valid use case to select HDD (hard disk drives) as the storage for Google Cloud Bigtable?

• A. You need to integrate with Google BigQuery.
• B. You will not use the data to back a user-facing or latency-sensitive application.
• C. You will mostly run batch workloads with scans and writes, rather than frequently executing random reads of a small number of rows.
• D. You expect to store at least 10 TB of data.

Answer: A

Explanation:
For example, if you plan to store extensive historical data for a large number of remote-sensing devices and then use the data to generate daily reports, the cost savings for HDD storage may justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage-reads would be much more frequent in this case, and reads are much slower with HDD storage.

NEW QUESTION 38
Dataproc clusters contain many configuration files. To update these files, you will need to use the --properties option. The format for the option is: file_prefix:property=_____.

• A. value
• B. details
• C. null
• D. id

Answer: A

Explanation:
To make updating files and properties easy, the --properties command uses a special format to specify the configuration file and the property and value within the file that should be updated. The formatting is as follows: file_prefix:property=value.
Reference: https://cloud.google.com/dataproc/docs/concepts/cluster-properties#formatting

NEW QUESTION 39
Your company is migrating their 30-node Apache Hadoop cluster to the cloud. They want to re-use Hadoop jobs they have already created and minimize the management of the cluster as much as possible. They also want to be able to persist data beyond the life of the cluster. What should you do?

• A. Create a Google Cloud Dataproc cluster that uses persistent disks for HDFS.
• B. Create a Cloud Dataproc cluster that uses the Google Cloud Storage connector.
• C. Create a Google Cloud Dataflow job to process the data.
• D. Create a Hadoop cluster on Google Compute Engine that uses Local SSD disks.
• E. Create a Hadoop cluster on Google Compute Engine that uses persistent disks.

Answer: C

NEW QUESTION 40
You need to move 2 PB of historical data from an on-premises storage appliance to Cloud Storage within six months, and your outbound network capacity is constrained to 20 Mb/sec. How should you migrate this data to Cloud Storage?

• A. Use trickle or ionice along with gsutil cp to limit the amount of bandwidth gsutil utilizes to less than 20 Mb/ sec so it does not interfere with the production traffic
• B. Use Transfer Appliance to copy the data to Cloud Storage
• C. Use gsutil cp -Jto compress the content being uploaded to Cloud Storage
• D. Create a private URL for the historical data, and then use Storage Transfer Service to copy the data to Cloud Storage

Answer: B

Explanation:
Explanation

NEW QUESTION 41
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