What is a benefit of a diverse, balanced, and large dataset?
Answer(s): C
"Model accuracy is a benefit of a diverse, balanced, and large dataset. A diverse dataset can capture a variety of features and patterns that are relevant for the AI task. A balanced dataset can avoid overfitting or underfitting the model to a specific subset of data. A large dataset can provide enough information for the model to learn from and generalize well to new data."
What are the three commonly used examples of AI in CRM?
Answer(s): B
"Predictive scoring, forecasting, and recommendations are three commonly used examples of AI in CRM. Predictive scoring can help prioritize leads, opportunities, and customers based on their likelihood to convert, churn, or buy. Forecasting can help predict future sales, revenue, or demand based on historical data and trends. Recommendations can help suggest the best products, services, or actions for each customer based on their preferences, behavior, and needs."
Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM. What should the company do first to prepare its data for use with AI?
Before using AI to optimize business operations, the company should first assess the availability and quality of its data. Data is the fuel for AI, and without sufficient and relevant data, AI cannot produce accurate and reliable results. Therefore, the company should identify what data it has, where it is stored, how it is accessed, and how it is maintained. This will help the company understand the feasibility and scope of its AI projects.
A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis.Which primary role does data Quality play In this AI application?
Answer(s): A
"Data quality plays a crucial role in enhancing the accuracy and reliability of medical predictions and diagnoses. Poor data quality can lead to inaccurate or misleading results, which can have serious consequences for patients' health and well-being. Therefore, it is important to ensure that the data used for AI applications in healthcare is accurate, complete, consistent, and relevant."
What are some of the ethical challenges associated with AI development?
"Some of the ethical challenges associated with AI development are the potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes. Human bias can arise from the data used to train the models, the design choices made by the developers, or the interpretation of the results by the users. Lack of transparency can make it difficult to understand how and why AI systems make certain decisions, which can affect trust, accountability, and fairness."
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the new versoin of this exam which i downloaded has all the latest questions from the exam. i only saw 3 new questions in the exam which was not in this dump.
question 8 - can cloudtrail be used for storing jobs? based on aws - aws cloudtrail is used for governance, compliance and investigating api usage across all of our aws accounts. every action that is taken by a user or script is an api call so this is logged to [aws] cloudtrail. something seems incorrect here.
question 13 tda - c01 answer : quick table calculation -> percentage of total , compute using table down
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question 44 answer is user risk
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question 205 answer is b
question 39, should be answer b, directions stated is being sudneted from /21 to a /23. a /23 has 512 ips so 510 hosts. and can make 4 subnets out of the /21
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the questions are exactly the same in real exam. just make sure not to answer all them correct or else they suspect you are cheating.
question: 78 the right answer i think is d not a
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on question 22, option b-once per session is also valid.
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correct answers are device configuration-enable the automatic installation of webview2 runtime. & policy management- prevent users from submitting feedback.
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