Salesforce AI Associate Exam Questions with Correct
Answers| Latest Update 100% Solved
What does "data completeness" mean when discussing data quality?
A. The capacity to retrieve data from various sources in real-time
B. The extent to which all necessary data points exist within the dataset
C. The act of combining multiple datasets from different databases ✔️✔️B. The extent to which
all necessary data points exist within the dataset
Which data quality aspect is crucial for Cloudy Computing's customer service analytics
application, designed to analyze cases in Salesforce and ensure efficient case resolution?
A. Consistency
B. Age
C. Duplication ✔️✔️A. Consistency
A sales manager aims to improve the quality of lead data in their CRM system. What is the most
likely process to assist the team in achieving this objective?
A. Redesign the lead conversion process
B. Prioritize active leads quarterly
C. Review and update missing lead information ✔️✔️C. Review and update missing lead
information
A Cloudy Computing administrator wishes to capture a customer's preferred name on their
record. Which Salesforce field type is most suitable for this purpose?
A. Multi-Select Picklist
,B. Text
C. Rich Text Area ✔️✔️B. Text
How does data quality influence the ethical use of AI applications?
A. Having high-quality data ensures that the necessary demographic attributes are available for
creating personalized campaigns
B. Good data quality is crucial to guarantee impartial and equitable AI decisions, uphold ethical
standards, and prevent discrimination
C. Poor-quality data lowers the likelihood of unintentional bias since it doesn't overly cater to
specific demographic groups ✔️✔️B. Good data quality is crucial to guarantee impartial and
equitable AI decisions, uphold ethical standards, and prevent discrimination
How does data quality affect the reliability of AI-driven decisions?
A. A combination of low-quality and high-quality data can enhance the accuracy and
dependability of AI-driven decisions
B. High-quality data enhances the dependability and credibility of AI-driven decisions, building
trust among users
C. Low-quality data decreases the likelihood of model overfitting, enhancing the reliability of
predictions ✔️✔️B. High-quality data enhances the dependability and credibility of AI-driven
decisions, building trust among users
Why is the use of good data crucial for effective AI development?
A. Diminishes the necessity for post-launch implementation monitoring
B. Results in more precise and dependable predictions and outcomes
C. Guarantees a shorter model training duration ✔️✔️B. Results in more precise and dependable
predictions and outcomes
, What is the expected outcome of high-quality data on customer relationships?
A. Increased expenses for acquiring customers
B. Increased brand loyalty
C. Improved customer trust and satisfaction ✔️✔️C. Improved customer trust and satisfaction
What advantage does a diverse, well-rounded, and extensive dataset offer?
A. Training duration
B. Model precision
C. Data security ✔️✔️B. Model precision
Cloudy Computing aims to enhance its business operations by integrating AI into its CRM
system. What should the company's initial step be in preparing its data for AI utilization?
A. Evaluate data results
B. Assess data accessibility
C. Eliminate prejudiced data ✔️✔️B. Assess data accessibility
What could be a potential result of inadequate data quality?
A. AI models retaining accuracy but experiencing delayed response times
B. Unintentional reinforcement of biases in AI systems due to flawed data
C. Reduced diversity and resilience in AI predictions ✔️✔️B. Unintentional reinforcement of
biases in AI systems due to flawed data
A business analyst (BA) is looking to boost their company's performance by making
improvements in their sales procedures and customer service.
Answers| Latest Update 100% Solved
What does "data completeness" mean when discussing data quality?
A. The capacity to retrieve data from various sources in real-time
B. The extent to which all necessary data points exist within the dataset
C. The act of combining multiple datasets from different databases ✔️✔️B. The extent to which
all necessary data points exist within the dataset
Which data quality aspect is crucial for Cloudy Computing's customer service analytics
application, designed to analyze cases in Salesforce and ensure efficient case resolution?
A. Consistency
B. Age
C. Duplication ✔️✔️A. Consistency
A sales manager aims to improve the quality of lead data in their CRM system. What is the most
likely process to assist the team in achieving this objective?
A. Redesign the lead conversion process
B. Prioritize active leads quarterly
C. Review and update missing lead information ✔️✔️C. Review and update missing lead
information
A Cloudy Computing administrator wishes to capture a customer's preferred name on their
record. Which Salesforce field type is most suitable for this purpose?
A. Multi-Select Picklist
,B. Text
C. Rich Text Area ✔️✔️B. Text
How does data quality influence the ethical use of AI applications?
A. Having high-quality data ensures that the necessary demographic attributes are available for
creating personalized campaigns
B. Good data quality is crucial to guarantee impartial and equitable AI decisions, uphold ethical
standards, and prevent discrimination
C. Poor-quality data lowers the likelihood of unintentional bias since it doesn't overly cater to
specific demographic groups ✔️✔️B. Good data quality is crucial to guarantee impartial and
equitable AI decisions, uphold ethical standards, and prevent discrimination
How does data quality affect the reliability of AI-driven decisions?
A. A combination of low-quality and high-quality data can enhance the accuracy and
dependability of AI-driven decisions
B. High-quality data enhances the dependability and credibility of AI-driven decisions, building
trust among users
C. Low-quality data decreases the likelihood of model overfitting, enhancing the reliability of
predictions ✔️✔️B. High-quality data enhances the dependability and credibility of AI-driven
decisions, building trust among users
Why is the use of good data crucial for effective AI development?
A. Diminishes the necessity for post-launch implementation monitoring
B. Results in more precise and dependable predictions and outcomes
C. Guarantees a shorter model training duration ✔️✔️B. Results in more precise and dependable
predictions and outcomes
, What is the expected outcome of high-quality data on customer relationships?
A. Increased expenses for acquiring customers
B. Increased brand loyalty
C. Improved customer trust and satisfaction ✔️✔️C. Improved customer trust and satisfaction
What advantage does a diverse, well-rounded, and extensive dataset offer?
A. Training duration
B. Model precision
C. Data security ✔️✔️B. Model precision
Cloudy Computing aims to enhance its business operations by integrating AI into its CRM
system. What should the company's initial step be in preparing its data for AI utilization?
A. Evaluate data results
B. Assess data accessibility
C. Eliminate prejudiced data ✔️✔️B. Assess data accessibility
What could be a potential result of inadequate data quality?
A. AI models retaining accuracy but experiencing delayed response times
B. Unintentional reinforcement of biases in AI systems due to flawed data
C. Reduced diversity and resilience in AI predictions ✔️✔️B. Unintentional reinforcement of
biases in AI systems due to flawed data
A business analyst (BA) is looking to boost their company's performance by making
improvements in their sales procedures and customer service.
