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NEW QUESTION: 1
A developer wants the ability to roll back to a previous version of an AWS Lambda function in the event of errors caused by a new deployment.
How can the developer achieve this with MINIMAL impact on users?
A. Create three aliases: new, existing, and router Point the existing alias to the current version Have the router alias direct 100% of users to the existing alias Update the application to use the router alias Deploy the new version of the code Point the new alias to this version Update the router alias to direct 10% of users to the new alias If too many errors are encountered, send 100% of traffic to the existing alias
B. Change the application to use an alias that points to the current version Deploy the new version of the code. Update the alias to direct 10% of users to the newly deployed version. If too many errors are encountered, send 100% of traffic to the previous version
C. Change the application to use an alias that points to the current version Deploy the new version of the code Update the alias to use the newly deployed version If too many errors are encountered, point the alias back to the previous version
D. Do not make any changes to the application Deploy the new version of the code. If too many errors are encountered, point the application back to the previous version using the version number in the Amazon Resource Name (ARN)
Answer: C
NEW QUESTION: 2
What are the benefits of deploying IAP on multiple servers?
A. Response times can be very slow: data is not easily available over a WAN
B. All of the above
C. With two servers, the internal database locks cannot occur and the system structure is consequently much more robust.
D. Middleware, allows access to intelligence from anywhere at any time
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Reference:
http://www-935.ibm.com/services/in/gts/pdf/
accelerating_application_performance_acros_the_wan_whitepaper.pdf
NEW QUESTION: 3
How would you query specific partitions in a BigQuery table?
A. Use the DAY column in the WHERE clause
B. Use the __PARTITIONTIME pseudo-column in the WHERE clause
C. Use DATE BETWEEN in the WHERE clause
D. Use the EXTRACT(DAY) clause
Answer: B
Explanation:
Partitioned tables include a pseudo column named _PARTITIONTIME that contains a date-based timestamp for data loaded into the table. To limit a query to particular partitions (such as Jan 1st and 2nd of
2017), use a clause similar to this:
WHERE _PARTITIONTIME BETWEEN TIMESTAMP('2017-01-01') AND TIMESTAMP('2017-01-02') Reference: https://cloud.google.com/bigquery/docs/partitioned-tables#the_partitiontime_pseudo_column