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NEW QUESTION: 1
You are tuning RMAN to optimize performance. You want tape I/O to be asynchronous when you perform tape backups.
Which action should you take?
A. Use compression when performing tape backups.
B. Configure multiple SBT channels.
C. Set the BACKUP_TAPE_IO_SLAVES parameter to TRUE.
D. Set the BACKUP_TAPE_IO_SLAVES parameter to FALSE.
Answer: C

NEW QUESTION: 2
Which of these statements about BigQuery caching is true?
A. Query results are cached even if you specify a destination table.
B. BigQuery caches query results for 48 hours.
C. By default, a query's results are not cached.
D. There is no charge for a query that retrieves its results from cache.
Answer: D
Explanation:
When query results are retrieved from a cached results table, you are not charged for the query.
BigQuery caches query results for 24 hours, not 48 hours.
Query results are not cached if you specify a destination table.
A query's results are always cached except under certain conditions, such as if you specify a destination table.
Reference: https://cloud.google.com/bigquery/querying-data#query-caching

NEW QUESTION: 3
A manufacturing company has been collecting IoT sensor data from devices on its factory floor for a year and is storing the data in Amazon Redshift for daily analysis. A data analyst has determined that, at an expected ingestion rate of about 2 TB per day, the cluster will be undersized in less than 4 months. A long-term solution is needed. The data analyst has indicated that most queries only reference the most recent 13 months of data, yet there are also quarterly reports that need to query all the data generated from the past 7 years. The chief technology officer (CTO) is concerned about the costs, administrative effort, and performance of a long-term solution.
Which solution should the data analyst use to meet these requirements?
A. Take a snapshot of the Amazon Redshift cluster. Restore the cluster to a new cluster using dense storage nodes with additional storage capacity.
B. Unload all the tables in Amazon Redshift to an Amazon S3 bucket using S3 Intelligent-Tiering. Use AWS Glue to crawl the S3 bucket location to create external tables in an AWS Glue Data Catalog.
Create an Amazon EMR cluster using Auto Scaling for any daily analytics needs, and use Amazon Athena for the quarterly reports, with both using the same AWS Glue Data Catalog.
C. Execute a CREATE TABLE AS SELECT (CTAS) statement to move records that are older than 13 months to quarterly partitioned data in Amazon Redshift Spectrum backed by Amazon S3.
D. Create a daily job in AWS Glue to UNLOAD records older than 13 months to Amazon S3 and delete those records from Amazon Redshift. Create an external table in Amazon Redshift to point to the S3 location. Use Amazon Redshift Spectrum to join to data that is older than 13 months.
Answer: A

NEW QUESTION: 4
Note: The question is part of a series of questions the present the same scenario. Each question In the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to It. As a result, these questions will not appear in the review screen.
Your network contains an Active Directory forest named contoso.com. All servers run Windows Server 2016.
The forest contains 2,000 client computers that run Windows 10. All client computers are deployed from a customized Windows image.
You need to deploy 10 Privileged Access Workstations (PAWs). The solution must ensure that administrators can access several client applications used by all users.
Solution: You deploy 10 physical computers and configure them as PAWs. You deploy 10 additional computers and configure them by using the customized Windows image.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation
References:
https://technet.microsoft.com/en-us/windows-server-docs/security/securing-privileged-access/privileged-access-w