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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic	Details
Topic 1	AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 2	Ethical Considerations of AI: It delves into the ethical challenges of AI such as human bias in machine learning, lack of transparency, etc. The topic also explains how to apply the Trusted AI Principles of Salesforce to given scenarios.
Topic 3	Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
Topic 4	AI Fundamentals: This topic discusses the major principles and applications of AI within Salesforce. It also focuses on different types of AI and their capabilities.

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Salesforce Certified AI Associate Exam Sample Questions (Q19-Q24):

NEW QUESTION # 19
What are the potential consequences of an organization suffering from poor data quality?

A. Revenue loss, poor customer service, and reputational damage
B. Low employee morale, stock devaluation, and inability to attract top talent
C. Technical debt, monolithic system architecture, and slow ETL throughput

Answer: A

Explanation:
The potential consequences of an organization suffering from poor data quality include revenue loss, poor customer service, and reputational damage. Poor data quality can lead to inaccurate analytics and decision- making, impacting customer interactions, marketing strategies, and financial forecasting. These issues ultimately affect customer satisfaction and could lead to financial losses and a damaged brand reputation.
Salesforce highlights the importance of maintaining high data quality for effective CRM and AI applications, offering various tools and best practices to enhance data integrity. For guidance on managing and improving data quality in Salesforce, see the Salesforce documentation on data quality at Salesforce Data Quality.

NEW QUESTION # 20
A system admin recognizes the need to put a data management strategy in place.
What is a key component of data management strategy?

A. Naming Convention
B. Data Backup
C. Color Coding

Answer: B

Explanation:
Data Backup is a key component of a datamanagement strategy. A data backup is a process of creating and storing copies of data in a separate location or device to prevent data loss or damage in case of a disaster, accident, or malicious attack. A data backup can help ensure data availability, reliability, and security by allowing data to be restored or recovered in the event of a data breach, corruption, or deletion. A data management strategy should include a data backup plan that defines the frequency, scope, method, and location of data backups, as well as the roles and responsibilities of the data backup team.

NEW QUESTION # 21
What Is a benefit of data quality and transparency as it pertains to bias in generated AI?

A. Chances of bIas and mitigated
B. Chances of bias are remove
C. Chances of bias are aggravated

Answer: A

Explanation:
"Data quality and transparency can help mitigate the chances of bias in generative AI. Data quality means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can help mitigate bias by ensuring that the generative AI model learns from a balanced and representative sample of the target population or domain. Data transparency means that the data sources, methods, and processes are clear and open to inspection and verification. Data transparency can help mitigate bias by allowing users to understand and evaluate the dataused or generated by the generative AI model."

NEW QUESTION # 22
What are some key benefits of AI in improving customer experiences in CRM?

A. Fully automates the customer service experience, ensuring seamless automated interactions with customers
B. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats
C. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions

Answer: C

Explanation:
"Streamlining case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions are some key benefits of AI in improving customerexperiences in CRM. AI can help automate and optimize various aspects of customer service, such as routing cases to the right agents, providing relevant information or suggestions, and generating reports or insights. AI can also help enhance customer satisfaction and loyalty by reducing wait times, improving response quality, and providing personalized solutions."

NEW QUESTION # 23
How does a data quality assessment impact business outcome for companies using AI?

A. Accelerates the delivery of new AI solutions
B. Improves the speed of AI recommendations
C. Provides a benchmark for AI predictions

Answer: C

Explanation:
"A data quality assessment impacts business outcomes for companies using AI by providing a benchmark for AI predictions. A data quality assessment is a process that measures and evaluates the quality of data for a specific purpose or task. A data quality assessment can help identify and address any issues or gaps in the data quality dimensions, such as accuracy, completeness, consistency, relevance, and timeliness. A data quality assessment can impact business outcomes for companies using AI by providing a benchmark for AIpredictions, as it can help ensure that the predictions are based on high-quality data that reflects the true state or condition of the target population or domain."

NEW QUESTION # 24
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Latest Salesforce-AI-Associate Test Pdf, Salesforce-AI-Associate Test Discount Voucher

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

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Salesforce Certified AI Associate Exam Sample Questions (Q19-Q24):

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