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NEW QUESTION: 1
Which of the following fraudulent activities most likely could be perpetrated due to the lack of effective
internal controls in the revenue cycle?
A. Fictitious transactions are recorded that cause an understatement of revenue and overstatement of
receivables.
B. Merchandise received is not promptly reconciled to the outstanding purchase order file.
C. Obsolete items included in inventory balances are rarely reduced to the lower of cost or market value.
D. The write-off of receivables by personnel who receive cash permits the misappropriation of cash.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Choice "C" is correct. The function of cash receipts is part of the treasurer's department and should be
separate from the role of writing off receivables. Failure to separate the recordkeeping function from the
custodial function allows an individual to misappropriate cash and then cover up the theft by writing off the
related receivable balance.
Choice "A" is incorrect. Internal controls in the revenue cycle typically relate to sales, receivables, and
cash, not to the purchase and receipt of goods.
Choice "B" is incorrect. Internal controls in the revenue cycle typically relate to sales, receivables, and
cash, not to inventory valuation.
Choice "D" is incorrect. If fictitious transactions in the revenue cycle are recorded, then the impact on
revenues and receivables would be the same; either both would be overstated (the most likely case) or
both would be understated.
NEW QUESTION: 2
A game company needs to properly scale its game application, which is backed by DynamoDB.
Amazon Redshift has the past two years of historical data. Game traffic varies throughout the year based on various factors such as season, movie release, and holiday season. An administrator needs to calculate how much read and write throughput should be previsioned for DynamoDB table for each week in advance.
How should the administrator accomplish this task?
A. Feed the data into Spark Mlib and build a random forest model
B. Feed the data into Amazon Machine Learning and build a binary classification model
C. Feed the data into Apache Mahout and build a multi-classification model
D. Feed the data into Amazon Machine Learning and build a regression model
Answer: A
NEW QUESTION: 3
Refer to the exhibit. You are analyzing a customer's existing Isilon environment using InsightIQ in order toexpand the cluster. When examining the protocol data, you see the output as shown.
What does the data tell you about the workload?
A. It contains mostly random writes
B. It is mostly sequential reads
C. It is meta data intensive
D. It uses large read requests
Answer: C