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NEW QUESTION: 1
Scenario










A. Option C
B. Option D
C. Option A
D. Option B
Answer: B
Explanation:
Using the show running-config command we see that R6 has been incorrectly configured with the same router ID as
R3 under the router OSPF process.

NEW QUESTION: 2
Privilege creep among long-term employees can be mitigated by which of the following procedures?
A. Mandatory vacations
B. User permission reviews
C. Job function rotation
D. Separation of duties
Answer: B

NEW QUESTION: 3
You are working in an online transaction processing (OLTP) environment. You use the FLASHBACKTABLE command to flash back the CUSTOMERS table. Before executing the FLASHBACK TABLE command, the system change number (SCN) was 663571. After flashing back the CUSTOMERS table, you realize that the table is not in the correct state. Now, you need to reverse the effects of the FLASHBACK TABLE command. Which is the fastest and the most efficient option to reverse the effects of the FLASHBACK TABLE command?
A. Execute the FLASHBACK DATABASE statement to retrieve the CUSTOMERS table as it was at SCN 663571
B. Execute another FLASHBACK TABLE statement to retrieve the CUSTOMERS table as it was at SCN 663571
C. Restore the backup control file and open the database with RESETLOGS option.
D. Perform point-in-time recovery because flashback cannot be performed again on this table
Answer: B
Explanation:
Undoing a Flashback Table Operation
It is important to note your current SCN before using a Flashback Table operation.
Use the FLASHBACK TABLE statement again to go back to just before you were when you issued
the first statement.

NEW QUESTION: 4
You are designing an Al solution that must meet the following processing requirements:
* Use a parallel processing framework that supports the in-memory processing of high volumes of data.
* Use in-memory caching and a columnar storage engine for Apache Hive queries.
What should you use to meet each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Apache Spark
Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. Apache Spark in Azure HDInsight is the Microsoft implementation of Apache Spark in the cloud.
Box 2: Interactive Query
Interactive Query provides In-memory caching and improved columnar storage engine for Hive queries.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/interactive-query/apache-interactive-query-get-started