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NEW QUESTION: 1
Which three are capabilities of the dbaascli utility? (Choose three.)
A. Patching the primary database deployment
B. Clone a DB
C. Start and open the database instance
D. Switchover and failover in an Oracle Guard configuration
E. Open port 1521 in the VCN to allow for traffic to the listener
Answer: A,C,D
Explanation:
https://docs.oracle.com/en/cloud/paas/database-dbaas-cloud/csdbi/dbaascli.html Using the dbaascli utility, you can:
Change the password of a database user.
Start and stop a database.
Start and stop the Oracle Net listener
Check the status of the Oracle Data Guard configuration.
Perform switchover and failover in an Oracle Data Guard configuration.
Patch the database deployment.
Perform database recovery.
Rotate the master encryption key.
https://docs.oracle.com/en/cloud/paas/database-dbaas-cloud/csdbi/dbaascli.html

NEW QUESTION: 2
You plan to monitor the ASM configuration on an X5 Database Machine as part of your role supporting Exadata-based ASM diskgroups.
You want to check for potential space problems that take ASM mirroring requirements into account.
Which two values would you monitor from V$ASM_DISKGROUP or by using the ASMCMD LSDG command?
A. cold_used_mb
B. usable_file_mb
C. free_mb
D. required_mirror_free_mb
E. total_mb
Answer: C,E
Explanation:
Determine the Amount of Available Space
To increase the size of the disks in a disk group you must either have unallocated disk space available, or you have to reallocate space currently used by a different disk group.
Example: View the space currently used by the disk groups.
SELECT name, total_mb, free_mb, total_mb - free_mb used_mb, round(100*free_mb/total_mb,2) pct_free FROM v$asm_diskgroup ORDER BY 1;

The example above shows that the DATAC1 disk group has only about 15% of free space available while the RECOC1 disk group has about 87% free disk space. The PCT_FREE displayed here is raw free space, not usable free space. Additional space is needed for rebalancing operations.
References:
http://docs.oracle.com/cd/E80920_01/SAGUG/exadata-administering-asm.htm#SAGUG20526

NEW QUESTION: 3
A company builds an application to allow developers to share and compare code. The conversations, code snippets, and links shared by people in the application are stored in a Microsoft Azure SQL Database instance. The application allows for searches of historical conversations and code snippets.
When users share code snippets, the code snippet is compared against previously share code snippets by using a combination of Transact-SQL functions including SUBSTRING, FIRST_VALUE, and SQRT. If a match is found, a link to the match is added to the conversation.
Customers report the following issues:
* Delays occur during live conversations
* A delay occurs before matching links appear after code snippets are added to conversations
You need to resolve the performance issues.
Which technologies should you use? To answer, drag the appropriate technologies to the correct issues. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: memory-optimized table
In-Memory OLTP can provide great performance benefits for transaction processing, data ingestion, and transient data scenarios.
Box 2: materialized view
To support efficient querying, a common solution is to generate, in advance, a view that materializes the data in a format suited to the required results set. The Materialized View pattern describes generating prepopulated views of data in environments where the source data isn't in a suitable format for querying, where generating a suitable query is difficult, or where query performance is poor due to the nature of the data or the data store.
These materialized views, which only contain data required by a query, allow applications to quickly obtain the information they need. In addition to joining tables or combining data entities, materialized views can include the current values of calculated columns or data items, the results of combining values or executing transformations on the data items, and values specified as part of the query. A materialized view can even be optimized for just a single query.
References:
https://docs.microsoft.com/en-us/azure/architecture/patterns/materialized-view