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NEW QUESTION: 1
An auditor compared the current-year gross margin with the prior-year gross margin to determine if cost of
sales is reasonable. What type of audit procedure was performed?
A. Test of details.
B. Analytical procedures.
C. Test of transactions.
D. Test of controls.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Choice "B" is correct. Analytical procedures are evaluations of financial information made by a study of
plausible relationships among data, and they include comparisons between current year and prior year
financial information.
Choice "A" is incorrect. Tests of transactions involve selecting specific transactions and evaluating whether
they were properly recorded. Comparing current year and prior year gross margin would not provide
information regarding specific transactions.
Choice "C" is incorrect. Tests of controls are performed to evaluate the effectiveness of controls.
Comparing current year and prior year gross margin would not provide information regarding controls.
Choice "D" is incorrect. Test of details are audit procedures used to gather evidence to support specific
account balances. Comparing current year and prior year gross margin does not provide much information
regarding specific account balances, although it might identify an account balance worthy of further
consideration.

NEW QUESTION: 2

A. net.exe
B. Set-NetIPInterface
C. sconfig.cmd
D. netsh.exe
Answer: C
Explanation:
In Windows Server 2012, you can use the Server Configuration tool (Sconfig.cmd) to configure and manage several common aspects of Server Core installations. Network settings You can configure the IP address to be assigned automatically by a DHCP Server or you can assign a static IP address manually. This option allows you to configure DNS Server settings for the server as well.

Sconfig.cmd interface

NEW QUESTION: 3
A financial services company receives a regular data feed from its credit card servicing partner Approximately
5 000 records are sent every 15 minutes in plaintext delivered over HTTPS directly into an Amazon S3 bucket with server-side encryption This feed contains sensitive credit card primary account number (PAN) data The company needs to automatically mask the PAN before sending the data to another S3 bucket for additional internal processing The company also needs to remove and merge specific fields and then transform the record into JSON format Additionally extra feeds are likely to be added in the future so any design needs to be easily expandable Which solutions will meet these requirements?
A. Create an AWS Glue crawler and custom classifier based upon the data feed formats and build a table definition to match Perform an Amazon Athena query on file delivery to start an Amazon EMR ETL job to transform the entire record according to the processing and transformation requirements Define the output format as JSON Once complete send the results to another S3 bucket for internal processing and scale down the EMR cluster
B. Create an AWS Glue crawler and custom classifier based on the data feed formats and build a table definition to match Trigger an AWS Lambda function on file delivery to start an AWS Glue ETL job to transform the entire record according to the processing and transformation requirements Define the output format as JSON Once complete have the ETL job send the results to another S3 bucket for internal processing
C. Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue Trigger another Lambda function when new messages arrive in the SQS queue to process the records, writing the results to a temporary location in Amazon S3 Trigger a final Lambda function once the SQS queue is empty to transform the records into JSON format and send the results to another S3 bucket for internal processing n
D. Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue Configure an AWS Fargate container application to automatically scale to a single instance when the SQS queue contains messages Have the application process each record and transform the record into JSON format When the queue is empty send the results to another S3 bucket for internal processing and scale down the AWS Fargate instance
Answer: B