Salesforce-AI-Associate無料問題集「Salesforce Certified AI Associate」

質問 1

To avoid introducing unintended bias to an AI model, which type of data should be omitted?

（A）Engagement

（B）Demographic

（C）Transactional

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 2

Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?

（A）Develop right-sized models to reduce our carbon footprint.

（B）Be transparent when AI has created and automatically delivered content.

（C）Create guardrails that mitigates toxicity and protect PII

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 3

What should organizations do to ensure data quality for their AI initiatives?

（A）Collect and curate high-quality data from reliable sources.

（B）Prioritize model fine-tuning over data quality improvements.

（C）Rely on AI algorithms to automatically handle data quality issues.

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 4

Cloud Kicks wants to use an AI mode to predict the demand for shoes using historical data on sales and regional characteristics.
What is an essential data quality dimension to achieve this goal?

（A）Volume

（B）Reliability

（C）Age

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 5

Cloud Kicks wants to develop a solution to predict customers product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a plckllst.
Which data quality dimension is affected in this scenario?

（A）Completeness

（B）Accuracy

（C）Consistency

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 6

What is a benefit of a diverse, balanced, and large dataset?

（A）Data privacy

（B）Training time

（C）Model accuracy

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 7

What is a potential outcome of using poor-quality data in AI application?

（A）AI models become more interpretable

（B）AI models may produce biased or erroneous results.

（C）AI model training becomes slower and less efficient

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 8

What is a possible outcome of poor data quality?

（A）Biases in data can be inadvertently learned and amplified by AI systems.

（B）AI predictions become more focused and less robust.

（C）AI models maintain accuracy but have slower response times.

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 9

How does a data quality assessment impact business outcome for companies using AI?

（A）Accelerates the delivery of new AI solutions

（B）Provides a benchmark for AI predictions

（C）Improves the speed of AI recommendations

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 10

What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?

（A）Different types of AI that can be applied in Salesforce

（B）Different types of data models used in Salesforce

（C）Different types of automation tools used in Salesforce

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

Salesforce-AI-Associate 無料問題集「Salesforce Certified AI Associate」

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