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NEW QUESTION: 1
Sitecore-XM-Cloud-Developer Simulation Questions
A. Option B
B. Option C
C. Option A
D. Option D
Answer: A
Explanation:
Reference:http://searchvirtualstorage.techtarget.com/definition/Storage-vMotion

NEW QUESTION: 2
Which two statements are true concerning Oracle 12c Clusterware-managed application VIPs?
A. Application VIPsdo not fail over to surviving cluster nodes when the node hosting the VIP fails.
B. An application VIP can be created with the crsctl utility.
C. If an application sends messages to be displayed and sets the DISPLAY variable, then an application VIP is required.
D. An application VIP is created on the interconnect network by the crsctl utility.
E. An application VIP is created on the default network by the appvipcfg utility.
Answer: B,E
Explanation:
B: Oracle 11.2 introduced appvipcfg utility for creating VIPs. From the GRID_HOME/bin directory run the appvipcfg command to create the applicationVIP. Oracle Clusterware assigns this VIP to a physical server in the cluster and will migrate the VIP to a surviving node in the cluster in the event of a server failure.
Example: appvipcfg create -network=1 -ip=192.168.20.111 -vipname=MyTestVIP -user=grid
D: While you can add a VIP in the same way that you can add any other resource that Oracle Clusterware manages,
Oracle recommends using the script Grid_home/bin/appvipcfg to create or delete an application VIP.

NEW QUESTION: 3
A mortgage company has a microservice for accepting payments. This microservice uses the Amazon DynamoDB encryption client with AWS KMS managed keys to encrypt the sensitive data before writing the data to DynamoDB. The finance team should be able to load this data into Amazon Redshift and aggregate the values within the sensitive fields. The Amazon Redshift cluster is shared with other data analysts from different business units.
Which steps should a data analyst take to accomplish this task efficiently and securely?
A. Create an Amazon EMR cluster. Create Apache Hive tables that reference the data stored in DynamoDB. Insert the output to the restricted Amazon S3 bucket for the finance team. Use the COPY command with the IAM role that has access to the KMS key to load the data from Amazon S3 to the finance table in Amazon Redshift.
B. Create an AWS Lambda function to process the DynamoDB stream. Decrypt the sensitive data using the same KMS key. Save the output to a restricted S3 bucket for the finance team. Create a finance table in Amazon Redshift that is accessible to the finance team only. Use the COPY command to load the data from Amazon S3 to the finance table.
C. Create an AWS Lambda function to process the DynamoDB stream. Save the output to a restricted S3 bucket for the finance team. Create a finance table in Amazon Redshift that is accessible to the finance team only. Use the COPY command with the IAM role that has access to the KMS key to load the data from S3 to the finance table.
D. Create an Amazon EMR cluster with an EMR_EC2_DefaultRole role that has access to the KMS key.
Create Apache Hive tables that reference the data stored in DynamoDB and the finance table in Amazon Redshift. In Hive, select the data from DynamoDB and then insert the output to the finance table in Amazon Redshift.
Answer: C