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NEW QUESTION: 1
A number of factors determine how many physical adapters are needed in a host design. Whichof the following is not one of them?
A. Security requirements
B. Hardware fault tolerance
C. Virtual machine size
D. Amount of bandwidth required
Answer: C
NEW QUESTION: 2
A. Option B
B. Option C
C. Option A
D. Option D
Answer: A
Explanation:
https://library.netapp.com/ecmdocs/ECMP1196991/html/GUID-06C70D3B-9A06-4D20-B140EB147B941BDA.html
The data structures that are backed up and restored through SnapVault depend on the primary
system.
On systems running Data ONTAP, the qtree is the basic unit of SnapVault backup and restore.
SnapVault backs up specified qtrees on the primary system to associated qtrees on the
SnapVaultsecondary system. If necessary, data is restored from the secondary qtrees back to
their associated primaryqtrees.
On open systems storage platforms, the directory is the basic unit of SnapVault backup.
SnapVault backs upspecified directories from the native system to specified qtrees in the
SnapVault secondary system.
If necessary SnapVault can restore an entire directory or a specified file to the open systems
platform.
The destination system uses a slightly more disk space and directories than the source system.
NEW QUESTION: 3
If you're running a performance test that depends upon Cloud Bigtable, all the choices except one below are recommended steps. Which is NOT a recommended step to follow?
A. Use at least 300 GB of data.
B. Before you test, run a heavy pre-test for several minutes.
C. Do not use a production instance.
D. Run your test for at least 10 minutes.
Answer: C
Explanation:
Explanation
If you're running a performance test that depends upon Cloud Bigtable, be sure to follow these steps as you plan and execute your test:
Use a production instance. A development instance will not give you an accurate sense of how a production instance performs under load.
Use at least 300 GB of data. Cloud Bigtable performs best with 1 TB or more of data. However, 300 GB of data is enough to provide reasonable results in a performance test on a 3-node cluster. On larger clusters, use
100 GB of data per node.
Before you test, run a heavy pre-test for several minutes. This step gives Cloud Bigtable a chance to balance data across your nodes based on the access patterns it observes.
Run your test for at least 10 minutes. This step lets Cloud Bigtable further optimize your data, and it helps ensure that you will test reads from disk as well as cached reads from memory.
Reference: https://cloud.google.com/bigtable/docs/performance
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