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NEW QUESTION: 1
Identify three statements that are true about the withholding tax process. (Choose three.)
A. If the withholding tax is calculated during the invoice validation process, the taxable amount withheld is the gross amount.
B. The withholding tax process is a part of Cash Management.
C. Tax is automatically calculated at any calculation level.
D. Payablescalculates withholding taxes on invoices during the invoice validation process or during the payment calculation.
E. Payables automaticallygenerates withholding tax invoices to pay tax authorities.
Answer: A,D,E

NEW QUESTION: 2
Your network contains an Active Directory domain named contoso.com. All servers run Windows Server 2012 R2. The
network contains a System Center 2012 R2 Data Protection Manager (DPM) deployment.
The domain contains six servers. The servers are configured as shown in the following table.

You install System Center 2012 R2 Virtual Machine Manager (VMM) on the nodes in Cluster2.
You configure VMM to use a database in Cluster1. Server5 is the first node in the cluster.
You need to back up the VMM encryption key.
What should you back up?
A. a system state backup of Server5
B. a system state backup of Server2
C. a full system backup of Server3
D. a full system backup of Server6
Answer: B
Explanation:
Encryption keys in Active Directory Domain Services: If distributed key management (DKM) is configured, then you are
storing VMM-related encryption keys in Active Directory Domain Services (AD DS). To back up these keys, back up
Active Directory on a regular basis.
Reference:
Back Up and Restore Virtual Machine Manager
https://technet.microsoft.com/en-us/library/dn768227.aspx#BKMK_b_misc

NEW QUESTION: 3
An application runs on Amazon EC2 instances across multiple Availability Zones.
The instances run in an Amazon EC2 Auto Scaling group behind an Application Load Balancer.
The application performs best when the CPU utilization of the EC2 instances is at or near 40%.
What should a solutions architect do to maintain the desired performance across all instances m the group?
A. Use a simple scaling policy to dynamically scale the Auto Scaling group
B. Use a target tracking policy to dynamically scale the Auto Scaling group
C. Use scheduled scaling actions to scale up and scale down the Auto Scaling group
D. Use an AWS Lambda function to update the desired Auto Scaling group capacity
Answer: B
Explanation:
With target tracking scaling policies, you select a scaling metric and set a target value. Amazon EC2 Auto Scaling creates and manages the CloudWatch alarms that trigger the scaling policy and calculates the scaling adjustment based on the metric and the target value.
The scaling policy adds or removes capacity as required to keep the metric at, or close to, the specified target value. In addition to keeping the metric close to the target value, a target tracking scaling policy also adjusts to the changes in the metric due to a changing load pattern.
CORRECT: "Use a target tracking policy to dynamically scale the Auto Scaling group" is the correct answer.
INCORRECT: "Use a simple scaling policy to dynamically scale the Auto Scaling group" is incorrect as target tracking is a better way to keep the aggregate CPU usage at around 40% INCORRECT: "Use an AWS Lambda function to update the desired Auto Scaling group capacity" is incorrect as this can be done automatically.
INCORRECT: "Use scheduled scaling actions to scale up and scale down the Auto Scaling group" is incorrect as dynamic scaling is required to respond to changes in utilization.
References:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scaling-target-tracking.html

NEW QUESTION: 4
You upgraded from a previous Oracle database version to Oracle Database version to Oracle Database 12c. Your
database supports a mixed workload. During the day, lots of insert, update, and delete operations are performed. At
night, Extract, Transform, Load (ETL) and batch reporting jobs are run. The ETL jobs perform certain database
operations using two or more concurrent sessions.
After the upgrade, you notice that the performance of ETL jobs has degraded. To ascertain the cause of performance
degradation, you want to collect basic statistics such as the level of parallelism, total database time, and the number
of I/O requests for the ETL jobs.
How do you accomplish this?
A. Enable SQL tracing for the queries in the ETL and batch reporting queries and gather diagnostic data from the trace
file.
B. Examine the Active Session History (ASH) reports for the time period of the ETL or batch reporting runs.
C. Enable real-time database operation monitoring using the DBMS_SQL_MONITOR.BEGIN_OPERATION function, and
then use the DBMS_SQL_MONITOR.REPORT_SQL_MONITOR function to view the required information.
D. Enable real-time SQL monitoring for ETL jobs and gather diagnostic data from the V$SQL_MONITOR view.
Answer: C
Explanation:
* Monitoring database operations
Real-Time Database Operations Monitoring enables you to monitor long running database tasks such as batch jobs,
scheduler jobs, and Extraction, Transformation, and Loading (ETL) jobs as a composite business operation. This feature
tracks the progress of SQL and PL/SQL queries associated with the business operation being monitored. As a DBA or
developer, you can define business operations for monitoring by explicitly specifying the start and end of the
operation or implicitly with tags that identify the operation.