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NEW QUESTION: 1
Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs. What should they do?
A. Use separate backend pools for each API path behind the load balancer.
B. Reconfigure old clients to use a new endpoint for the new API.
C. Configure a new load balancer for the new version of the API.
D. Have the old API forward traffic to the new API based on the path.
Answer: A
Explanation:
https://cloud.google.com/endpoints/docs/openapi/lifecycle-management

NEW QUESTION: 2
You are managing Oracle Database 11g with an ASM storage with high redundancy. The following command was issued to drop the disks from the dga disk group after five hours:
ALTER DISKGROUP dga OFFLINE DISKS IN FAILGROUP f2 DROP AFTER 5H;
Which statement is true in this scenario?
A. It starts the ASM fast mirror resync.
B. All the disks in the dga disk group in failure group f2 would be OFFLINE and the DISK_REPAIR_TIME disk attribute would be set to 5 hours.
C. It drops all disk paths from the dga disk group.
D. All the disks in the dga disk group would be OFFLINE and the DISK_REPAIR_TIME disk attribute would be set to 5 hours.
Answer: B
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 3
Which of the following is/are true?
I. The mean of a sample represents its average value.
II. The median can only be calculated if the sample contains an odd number of values.
III. The mode is not affected by extreme outliers in the data.
IV. For samples with an even number of data points, the mode is preferable to the median as a measure of central tendency.
A. I & II
B. I only
C. II only
D. I & III
E. III only
F. IV only
G. I, III & IV
H. II & III
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Note that the mode is not affected by outliers unless an extreme value occurs frequently. In such a case, it is likely that the observed data contain large errors and hence, it must be reexamined. The median of a set with odd number of observations equals the "middle" observation. If the number of observations is even, the median is the mean of the two middle observations. Thus, II is false.
Finally, there is no reason for a rule like (IV) to hold.