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NEW QUESTION: 1
A. 0
B. 1
C. 2
D. 3
Answer: B
NEW QUESTION: 2
You administer a Microsoft SQL Server 2014 instance that contains a financial database hosted on a storage area network (SAN).
The financial database has the following characteristics:
The database is continually modified by users during business hours from Monday through Friday between 09:00 hours and 17:00 hours. Five percent of the existing data is modified each day.
The Finance department loads large CSV files into a number of tables each business day at 11:15 hours and 15:15 hours by using the BCP or BULK INSERT commands. Each data load adds 3 GB of data to the database.
These data load operations must occur in the minimum amount of time.
A full database backup is performed every Sunday at 10:00 hours. Backup operations will be performed every two hours (11:00, 13:00, 15:00, and 17:00) during business hours.
You need to ensure that your backup will continue if any invalid checksum is encountered.
Which backup option should you use?
A. CONTINUE_AFTER_ERROR
B. COPY_ONLY
C. STANDBY
D. NORECOVERY
E. RESTART
F. BULK_LOGGED
G. Transaction log
H. SIMPLE
I. Differential
J. NO_CHECKSUM
K. CHECKSUM
L. DBO_ONLY
M. FULL
N. SKIP
Answer: A
Explanation:
The CONTINUE_AFTER_ERROR option, of the Transact-SQL BACKUP command,
instructs BACKUP to continue despite encountering errors such as invalid checksums or torn pages.
References:
https://docs.microsoft.com/en-us/sql/t-sql/statements/backup-transact-sql
NEW QUESTION: 3
A company has a three-tier image-sharing application it uses an Amazon EC2 instance for the front-end layer, another for the backend tier, and a third for the MySQL database A solutions architect has been tasked with designing a solution that is highly available, and requires the least amount of changes to the application Which solution meets these requirements'?
A. Use load-balanced Multi-AZ AWS Elastic Beanstalk environments for the front-endand backend layers Move the database to an Amazon RDS instance with a Multi-AZ deployment Use Amazon S3 to store and serve users' images
B. Use load-balanced Multi-AZ AWS Elastic Beanstalk environments for the front-end and backend layers Move the database to an Amazon RDS instance with multiple read replicas to store and serve users' images.
C. Use Amazon S3 to host the front-end layer and AWS Lambda functions for the backend layer Move the database to an Amazon DynamoDB table and use Amazon S3 to store and serve users'images
D. Use Amazon S3 to host the front-end layer and a fleet of Amazon EC2 instances in an Auto Scaling group for the backend layer Move the database to a memory optimized instance type to store and serve users' images
Answer: A