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NEW QUESTION: 1
Which of the following is often a difficult process when working with internationally-based cloud providers?
A. Data segregation
B. Network isolation
C. Litigation hold
D. Multi-tenancy
Answer: C

NEW QUESTION: 2
A female client has been recently diagnosed as bipolar. She has taken lithium for the past several weeks to control mania. What must be included in client education regarding lithium toxicity?
A. Withhold lithium if experiencing diarrhea, vomiting, or diaphoresis.
B. For pain or fever, avoid aspirin or acetaminophen (Tylenol). Nonsteroidal antiinflammatory drugs are preferred.
C. Take lithium between meals to increase absorption.
D. Maintain a normal diet; however, limit salt intake to no more than 3 g/day.
Answer: A
Explanation:
(A) The client should maintain a normal diet including normal salt intake. A low-sodium diet can cause lithium retention, leading to toxicity. (B) Lithium must be taken with meals because it is irritating to the gastric mucosa. (C) Diarrhea, vomiting, or diaphoresis can cause dehydration, which will increase lithium blood levels. If these symptoms occur, the nurse should instruct the client to withhold lithium. (D) Lithium is not to be taken with over-the-counter drugs without specific instruction. Some drugs raise lithium levels, whereas others lower lithium levels.

NEW QUESTION: 3
The MOST important reason that statistical anomaly-based intrusion detection systems (slat IDSs) are less commonly used than signature-based IDSs, is that stat IDSs:
A. generate false alarms from varying user or system actions.
B. cannot detect new types of attacks.
C. cause false positives from minor changes to system variables.
D. create more overhead than signature-based IDSs.
Answer: A
Explanation:
A statistical anomaly-based intrusion detection system (stat IDS) collects data from normal traffic and establishes a baseline. It then periodically samples the network activity based on statistical methods and compares samples to the baseline. When the activity is outside the baseline parameter (clipping level), the IDS notifies the administrator. The baseline variables can include a host's memory or central processing unit (CPU) usage, network packet types and packet quantities. If actions of the users or the systems on the network vary widely with periods of low activity and periods of frantic packet exchange, a stat IDS may not be suitable, as the dramatic swing from one level to another almost certainly will generate false alarms. This weakness will have the largest impact on the operation of the IT systems. Due to the nature of stat IDS operations (i.e., they must constantly attempt to match patterns of activity to the baseline parameters), a stat IDS requires much more overhead and processing than signature-based versions. Due to the nature of a stat IDS-based on statistics and comparing data with baseline parameters-this type of IDS may not detect minor changes to system variables and may generate many false positives. Choice D is incorrect; since the stat IDS can monitor multiple system variables, it can detect new types of variables by tracing for abnormal activity of any kind.