Salesforce AI Associate Certification Exam Questions 2024
Salesforce AI Associate Certification Exam Questions 2024
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Question 1:
What role does data quality play in the ethical us of AI applications?
A. High-quality data is essential for ensuring unbased and for fair AI decisions, promoting ethical use, and preventing discrimi...
B. High-quality data ensures the process of demographic attributes requires for personalized campaigns.
C. Low-quality data reduces the risk of unintended bias as the data is not overfitted to demographic groups.
Answer: A
Explanation:
High-quality data is essential for ensuring unbiased and fair AI decisions, promoting ethical use, and preventing discrimination.
High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task.
High-quality data can help ensure unbiased and fair AI decisions by providing a balanced and representative sample of the target population or domain.
High-quality data can also help promote ethical use and prevent discrimination by respecting the rights and preferences of users regarding their personal data.
Question 2:
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 data management 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.
Question 3:
What is a key challenge of human AI collaboration in decision-making?
A. Leads to move informed and balanced decision-making
B. Creates a reliance on AI, potentially leading to less critical thinking and oversight
C. Reduce the need for human involvement in decision-making processes
Answer: B
Explanation:
A key challenge of human-AI collaboration in decision-making is that it creates a reliance on AI, potentially leading to less critical thinking and oversight.
Human-AI collaboration is a process that involves humans and AI systems working together to achieve a common goal or task.
Human-AI collaboration can have many benefits, such as leveraging the strengths and complementing the weaknesses of both humans and AI systems.
However, human-AI collaboration can also pose some challenges, such as creating a reliance on AI, potentially leading to less critical thinking and oversight.
For example, human-AI collaboration can create a reliance on AI if humans blindly trust or follow the AI recommendations without questioning or verifying their validity or rationale.
Question 4:
How does a data quality assessment impact business outcome for companies using AI?
A. Improves the speed of AI recommendations
B. Accelerates the delivery of new AI solutions
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 AI predictions, 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.
Question 5:
Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic…
A. Geographic
B. Geographic
C. Cryptographic
Answer: B
Explanation:
Demographic data is the data that Salesforce automatically excludes from Marketing Cloud Einstein engagement model training to mitigate bias and ethical concerns.
Demographic data is data that describes the characteristics of a population or a group of people, such as age, gender, race, ethnicity, income, education, or occupation.
Demographic data can lead to bias if it is used to discriminate or treat people differently based on their identity or attributes.
Demographic data can also reflect existing biases or stereotypes in society or culture, which can affect the fairness and ethics of AI systems.
Salesforce excludes demographic data from Marketing Cloud Einstein engagement model training to mitigate bias and ethical concerns by ensuring that the models are based on behavioral data rather than personal data.
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Question 6:
The Cloud technical team is assessing the effectiveness of their AI development processes?
A. Which established Salesforce Ethical Maturity Model should the team use to guide the development of trusted AI solution?
B. Ethical AI Prediction Maturity Model
C. Ethical AI Process Maturity Model
D. Ethical AI practice Maturity Model
Answer: C
Explanation:
The Ethical AI Process Maturity Model is the established Salesforce Ethical Maturity Model that the Cloud technical team should use to guide the development of trusted AI solutions.
The Ethical AI Process Maturity Model is a framework that helps assess and improve the ethical and responsible practices and processes involved in developing and deploying AI systems.
The Ethical AI Process Maturity Model consists of five levels of maturity: Ad Hoc, Aware, Defined, Managed, and Optimized.
The Ethical AI Process Maturity Model can help guide the development of trusted AI solutions by providing a roadmap and best practices for achieving higher levels of ethical maturity.
Question 7:
What are the key components of the data quality standard?
A. Naming, formatting, Monitoring
B. Accuracy, Completeness, Consistency
C. Reviewing, Updating, Archiving
Answer: B
Explanation:
Accuracy, Completeness, Consistency are the key components of the data quality standard.
Data quality standard is a set of criteria or measures that define and evaluate the quality of data for a specific purpose or task. Data quality standard can vary by industry, domain, or application, but some common components are accuracy, completeness, and consistency.
Accuracy means that the data values are correct and valid for the data attribute. Completeness means that the data values are not missing any relevant information for the data attribute.
Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources.
Question 8:
A financial institution plans a campaign for preapproved credit cards? How should they implement Salesforce’s Trusted AI Principle of Transparency?
A. Communicate how risk factors such as credit score can impact customer eligibility.
B. Flag sensitive variables and their proxies to prevent discriminatory lending practices.
C. Incorporate customer feedback into the model's continuous training.
Answer: B
Explanation:
Flagging sensitive variables and their proxies to prevent discriminatory lending practices is how they should implement Salesforce's Trusted AI Principle of Transparency.
Transparency is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for clarity and openness in how they work and why they make certain decisions.
Transparency also means that AI users should be able to access relevant information and documentation about the AI systems they interact with.
Flagging sensitive variables and their proxies means identifying and marking variables that can potentially cause discrimination or unfair treatment based on a person's identity or characteristics, such as age, gender, race, income, or credit score.
Flagging sensitive variables and their proxies can help implement Transparency by allowing users to understand and evaluate the data used or generated by AI systems.
Question 9:
What can bias in AI algorithms in CRM lead to?
A. Personalization and target marketing changes
B. Advertising cost increases
C. Ethical challenges in CRM systems
Answer: C
Explanation:
Bias in AI algorithms in CRM can lead to ethical challenges in CRM systems.
Bias means that AI algorithms favor or discriminate certain groups or outcomes based on irrelevant or unfair criteria.
Bias can affect the fairness and ethics of CRM systems, as they may affect how customers are perceived, treated, or represented by AI algorithms.
For example, bias can lead to ethical challenges in CRM systems if AI algorithms make inaccurate or harmful predictions or recommendations based on customers' identity or characteristics.
Question 10:
loud Kicks wants to use Einstein Prediction Builder to determine a customers likelihood of buying specific products; however, data quality is a… How can data quality be assessed quality?
A. Build a Data Management Strategy.
B. Build reports to expire the data quality.
C. Leverage data quality apps from AppExchange
Answer: C
Explanation:
Leveraging data quality apps from AppExchange is how data quality can be assessed.
Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task.
Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions.
Leveraging data quality apps from AppExchange means using third-party applications or solutions that can help measure, monitor, or improve data quality in Salesforce.
For a full set of 680+ questions. Go to
https://skillcertpro.com/product/salesforce-ai-associate-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.