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NEW QUESTION: 1
An auditor's primary consideration in evaluating controls is whether specific controls:
A. Reduce detection risk to a sufficiently low level.
B. Improve the efficiency of the client's operations.
C. Can be classified into one of the five internal control components.
D. Affect financial statement assertions.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Choice "A" is correct. An auditor's primary consideration in evaluating controls is whether specific controls
affect financial statement assertions, since ultimately the auditor must render an opinion on whether those
assertions are fairly stated.
Choice "B" is incorrect. The five components of internal control provide a useful framework for the auditor
to evaluate the impact of such controls on an audit, but such classification is not the auditor's primary
consideration.
Choice "C" is incorrect. Although a proper system of internal control may improve the client's operational
efficiency, it is not a primary consideration for the auditor.
Choice "D" is incorrect. The auditor controls detection risk by varying the nature, timing, and extent of
substantive tests. Whether or not a proper system of controls is in place affects control risk, not detection
risk.
NEW QUESTION: 2
新しく購入した企業WAPは、可能な限り安全な方法で構成する必要があります。
説明書
ネットワーク図の以下の項目をクリックして、それらを適宜設定してください。
* WAP
* DHCP Server
* AAA Server
* Wireless Controller
* LDAP Server
いつでもシミュレーションの初期状態に戻す場合は、[すべてリセット]ボタンをクリックしてください。
Answer:
Explanation:
Explanation
Wireless Access Point
Network Mode - G only
Wireless Channel - 11
Wireless SSID Broadcast - disable
Security settings - WPA2 Professional
NEW QUESTION: 3
You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?
A. Use Cloud Dataproc to run your transformations. Monitor CPU utilization for the cluster. Resize the number of worker nodes in your cluster via the command line.
B. Use Cloud Dataflow to run your transformations. Monitor the total execution time for a sampling of jobs. Configure the job to use non-default Compute Engine machine types when needed.
C. Use Cloud Dataflow to run your transformations. Monitor the job system lag with Stackdriver. Use the default autoscaling setting for worker instances.
D. Use Cloud Dataproc to run your transformations. Use the diagnose command to generate an operational output archive. Locate the bottleneck and adjust cluster resources.
Answer: D