QUESTION: 9

Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution.
Which data quality dimension Is essential for this custom application?

Consistency
Duplication
Age

Answer(s): A

Explanation:

"Consistency is the data quality dimension that is essential for creating a custom service analytics application to analyze cases in Salesforce. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources. Consistent data can ensure that the custom application can accurately and efficiently analyze cases and provide meaningful insights."

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QUESTION: 10

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

Collect and curate high-quality data from reliable sources.
Rely on AI algorithms to automatically handle data quality issues.
Prioritize model fine-tuning over data quality improvements.

Answer(s): A

Explanation:

"Organizations should collect and curate high-quality data from reliable sources to ensure data quality for their AI initiatives. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Reliable sources mean that the data is trustworthy, credible, and authoritative. Collecting and curating high-quality data from reliable sources can improve the performance and reliability of AI systems."

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QUESTION: 11

Which Einstein capability uses emails to create content for Knowledge articles?

Generate
Discover
Predict

Answer(s): A

Explanation:

"Einstein Generate uses emails to create content for Knowledge articles. Einstein Generate is a natural language generation (NLG) feature that can automatically write summaries, descriptions, or recommendations based on data or text inputs. For example, Einstein Generate can analyze email conversations between agents and customers and generate draft articles for the Knowledge base."

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QUESTION: 12

Which type of bias results from data being labeled according to stereotypes?

Association
Societal
Interaction

Answer(s): B

Explanation:

"Societal bias results from data being labeled according to stereotypes. Societal bias is a type of bias that reflects the assumptions, norms, or values of a specific society or culture. For example, societal bias can occur when data is labeled based on gender, race, ethnicity, or religion stereotypes."

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Free Salesforce-AI-Associate Exam Braindumps (page: 3)

QUESTION: 9

Explanation:

QUESTION: 10

Explanation:

QUESTION: 11

Explanation:

QUESTION: 12

Explanation: