From the course: CompTIA SecAI+ (CY0-001) Cert Prep
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SecAI+ question types
From the course: CompTIA SecAI+ (CY0-001) Cert Prep
SecAI+ question types
The SEC AI Plus exam contains two different types of questions. Standard multiple-choice questions and some specialized performance-based questions. Let's look at each of these categories. The multiple-choice questions are usually pretty straightforward. For most of them, you'll simply be presented with a fact-based question, such as the one shown here, and asked to choose the correct answer from four possible choices. The second type of question you'll face is the performance-based exam question. You'll find questions where you're asked to drag items into the right order, sort things by category, indicate different components on a network diagram, or perform similar vendor agnostic tasks. When answering exam questions, remember to use solid test-taking strategies. Here are a few pointers for you. First, read the question very carefully. Pay attention to exactly what the question is asking, and remember that one or more of The wrong answers may be based upon common misinterpretations…
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Contents
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The AI lifecycle1m 39s
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Business alignment in the AI lifecycle1m 43s
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Data collection2m 20s
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Data preparation3m 15s
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Model development and selection2m 13s
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Model evaluation and validation2m 29s
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Model deployment and integration3m 25s
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Monitoring and maintenance3m 19s
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Manipulating application integrations4m 8s
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AI supply chain attacks2m 4s
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Insecure plug-in design2m 9s
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Insecure output handling1m 23s
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Output integrity attacks2m 8s
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Model denial of service1m 31s
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Excessive agency1m 33s
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Overreliance1m 34s
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AI hallucinations1m 4s
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Monitoring prompts and responses2m 51s
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Log monitoring4m 30s
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Rate and cost monitoring5m 1s
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Auditing for AI hallucinations3m 33s
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Auditing for accuracy3m 29s
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Auditing for bias and fairness4m 35s
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Auditing access and security compliance3m 48s
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Responsible AI5m 29s
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AI risks2m 23s
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Introduction of bias2m 37s
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Accidental data leakage2m 53s
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Reputational loss2m 11s
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Accuracy and performance of the model2m 22s
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Intellectual property risks3m 31s
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Autonomous systems2m 27s
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Shadow IT and shadow AI1m 48s
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Awareness training2m 21s
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