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Conquer the AI World Using Salesforce AI Associate Practice Test
Are you interested in AI innovations and seeking to enlarge your knowledge of AI and data in the CRM space? Consider becoming a part of the Salesforce Certified AI Associate force!
The AI Associate is an entry-level certification designed for professionals of all backgrounds to enhance their abilities in AI and data security & ethics. AI can multiply business revenues, and that’s what employers want–professionals who can promise this future. So upgrade your skills and nab yourself a job in the field.
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Expanding Your Horizons: All-You-Need-to-Know About the Salesforce AI Associate Question Answers
The exam consists of 40 multiple-choice/multiple-select questions. You will have 70 minutes to complete the exam. The passing score is 65%. The exam costs $75, while retakes are free. The most fun part is that there are no prerequisites to take this exam.
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The exam covers a wide range of AI-related topics, you’ll need to master all these to earn your Salesforce Certified AI Associate Certification. Here’s a look into what to expect on the exam:
17% of the exam is AI Fundamentals, 8% AI Capabilities in CRM, 39% Ethical Considerations of AI and 36% is Data for AI.
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Related Exam
Passitcerts Providing most updated Salesforce Certified AI Associate Exam (SU24) Certification Question Answers. Here are a few exams:
A. Scores leads based on customer data
B. Creates personalized SMS campaigns
C. Automatically interacts with prospects
Answer: A
Explanation: AI assists in lead qualification primarily by scoring leads based on customer
data. This process, known as lead scoring, uses machine learning algorithms to evaluate
leads against a set of predefined criteria that reflect potential interest and sales readiness.
The scores assigned help sales teams prioritize their efforts toward leads most likely to
convert, thus improving efficiency and success rates in sales activities. Salesforce AI
enhances this process through features like Einstein Lead Scoring, which automatically
calculates scores based on both historical conversion data and behavioral data from
prospects. For further insights, Salesforce provides detailed documentation on lead scoring
with AI at Salesforce Einstein Lead Scoring.
Question # 2
Which best describes the difference between predictive AI and generative Al?
A. Predictive AT uses machine learning to classify or predict outputs from its input datawhereas generative Al does not use machine learning to generate its output.
B. Predictive Al uses machine learning to classify or predict outputs from its input datawhereas generative Al uses machine learning to generate new and original output for 4given input
C. Predictive Al and generative Al have the same capabilities but differ in the type of inputthey receive; predictive AT receives raw data whereas generative AT receives naturallanguage.
Answer: B
Explanation: Predictive AI and generative AI represent two different applications of
machine learning technologies. Predictive AI focuses on making predictions based on
historical data. It analyzes past data to forecast future outcomes, such as customer churn
or sales trends. On the other hand, generative AI is designed to generate new and original
outputs based on the learned data patterns. This includes tasks like creating new images,
text, or music that resemble the training data but do not duplicate it. Both types of AI use
machine learning, but their objectives and outputs are distinct. For detailed differences and
applications in a Salesforce context, Salesforce's guide on AI technologies is a helpful
resource, accessible at Salesforce AI Technologies.
Question # 3
Which action introduces bias in the training data used for AI algorithms?
A. Using a large dataset that is computationally expensive
B. Using a dataset that represents diverse perspectives and populations
C. Using a dataset that underrepresents perspectives and populations
Answer: C
Explanation: Introducing bias in training data for AI algorithms occurs when the dataset
used underrepresents certain perspectives and populations. This type of bias can skew AI
predictions, making the system less fair and accurate. For example, if a dataset
predominantly contains information from one demographic group, the AI's performance
may not generalize well to other groups, leading to biased or unfair outcomes. Salesforce
discusses the impact of biased training data and ways to mitigate this in their AI ethics
guidelines, which can be explored further in the Salesforce AI documentation on
Responsible Creation of AI.
Question # 4
What is the significance of explainability of trusted AI systems?
A. Increases the complexity of AI models
B. Enhances the security and accuracy of AI models
C. Describes how Al models make decisions
Answer: C
Explanation: The significance of the explainability of trusted AI systems is that it describes
how AI models make decisions. Explainability is crucial for building trust and accountability
in AI systems, ensuring that users and stakeholders understand the decision-making
processes and outcomes generated by AI. This is particularly important in scenarios where
AI decisions impact personal or financial status, such as in credit scoring or healthcare
diagnostics. Salesforce emphasizes the importance of explainable AI through its ethical AI
practices, aiming to make AI systems more transparent and understandable. More details
about Salesforce’s approach to ethical and explainable AI can be found in Salesforce AI ethics resources at Salesforce AI Ethics.
Question # 5
Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.Which type of records negatively impact data quality?
A. Structured
B. Complete
C. Duplicate
Answer: C
Explanation: Duplicate records negatively impact data quality by creating inconsistencies
and confusion in database management, leading to potential errors in customer
relationship management (CRM) systems like Salesforce. Duplicates can skew analytics
results, lead to inefficiencies in customer service, and result in redundant marketing efforts.
Salesforce offers various tools to identify and merge duplicate records, thereby maintaining
high data integrity. More about managing duplicate records in Salesforce and ensuring data
quality can be found in Salesforce’s documentation on duplicate management at
Salesforce Duplicate Management.
Question # 6
Cloud Kicks' latest email campaign is struggling to attract new customers.How can AI increase the company's customer email engagement?
A. Create personalized emails
B. Resend emails to inactive recipients
C. Remove invalid email addresses
Answer: A
Explanation: AI can significantly increase customer email engagement by creating
personalized emails. Salesforce Einstein AI enhances email marketing campaigns by
analyzing customer data and past interactions to tailor the content, timing, and
recommendations within emails. This personalization leads to higher engagement rates as
emails resonate more closely with individual preferences and behaviors. Salesforce
Marketing Cloud provides tools to leverage AI for crafting personalized email campaigns,
ensuring that emails are relevant and appealing to recipients. For more insights into how AI
can be used to enhance email marketing, see the Salesforce Marketing Cloud page at
Salesforce Marketing Cloud Email Studio.
Question # 7
A business analyst (BA) is preparing a new use case for Al. They run a report to check fornull values in the attributes they plan to use.Which data quality component Is the BA verifying by checking for null values?
A. Duplication
B. Usage
C. Completeness
Answer: C
Explanation: By checking for null values, a business analyst (BA) is verifying the data
quality component of completeness. Completeness refers to the absence of missing values
or gaps in the data, which is essential for the accuracy and reliability of reports and
analytics used in AI models. Null values can indicate incomplete data, which may adversely
affect the performance of AI applications by leading to incorrect predictions or insights.
Salesforce emphasizes the importance of data completeness for effective data analysis
and provides tools for data quality assessment and improvement. Details on handling data
completeness in Salesforce can be explored at Salesforce Help Data Management.
Question # 8
Cloud Kicks plans to use automated chat as its primary support channel.Which Einstein feature should they use?
A. Discovery
B. Bots
C. Next Best Action
Answer: B
Explanation: For Cloud Kicks, using automated chat as the primary support channel, the
recommended Einstein feature is Bots. Einstein Bots are designed to automate customer
interactions on common issues through chat and messaging platforms. They can handle
routine requests, provide quick answers to frequently asked questions, and escalate more
complex issues to human agents. Using Einstein Bots helps improve customer service
efficiency and speed, leading to enhanced customer satisfaction. To learn more about
setting up and optimizing Einstein Bots for a business, you can visit the Salesforce
documentation on Einstein Bots at Salesforce Einstein Bots.
Question # 9
Which type of AI can enhance customer service agents' email responses by analyzing thewritten content of previous emails?
A. Natural language processing
B. Machine learning
C. Deep learning
Answer: A
Explanation: Natural language processing (NLP) is the type of AI that can enhance
customer service agents' email responses by analyzing the written content of previous
emails. NLP technologies interpret and generate human language, allowing AI systems to
understand, respond to, and even anticipate customer needs based on email interactions.
This capability helps in crafting more relevant, accurate, and personalized email responses,
improving customer service quality. Salesforce utilizes NLP in its Einstein AI platform to
augment various customer service functions. More about Salesforce Einstein’s NLP
capabilities can be found on the Salesforce Einstein page at Salesforce Einstein NLP.
Question # 10
A sales manager is looking to enhance the quality of lead data in their CRM system.Which process will most likely help the team accomplish this goal?
A. Redesign the lead conversion process,
B. Review and update missing lead information.
C. Prioritize active leads quarterly.
Answer: B
Explanation: To enhance the quality of lead data in their CRM system, the most effective
process is to review and update missing lead information. This process involves identifying
incomplete records and filling in missing details, which can significantly improve the
accuracy and usefulness of lead data. Accurate and complete lead information is crucial for
effective lead scoring, prioritization, and follow-up, enhancing overall sales performance.
Salesforce CRM offers data quality tools and features that assist in regularly reviewing and
maintaining the accuracy of lead data. Information on managing lead data quality in
Salesforce can be found at Salesforce Lead Management.
FREQUENTLY ASKED QUESTIONS
The Salesforce AI Associate certification validates foundational knowledge of AI concepts, Salesforce AI tools, and how artificial intelligence integrates into business processes.
This certification is ideal for beginners, business users, and professionals interested in understanding AI concepts and Salesforce AI solutions without requiring deep technical expertise.
There are no specific prerequisites for this exam. It is designed for anyone looking to build their AI knowledge within the Salesforce ecosystem.
The exam typically covers:
AI fundamentals and concepts
Salesforce's AI tools (e.g., Einstein AI)
Ethical considerations of AI
Business use cases and applications of AI
The exam includes 40 multiple-choice or multiple-select questions.
You will have 70 minutes to complete the exam.
The passing score for this certification is typically 65%.
The exam registration fee is $75 USD.
You can prepare by:
Reviewing the official Salesforce exam guide
Taking practice tests available on platforms like passitcerts.com
Exploring Salesforce Trailhead modules on AI
You can register for the exam through the Salesforce Certification website or Webassessor.
At passitcerts.com, we offer comprehensive Salesforce AI Associate Practice Tests that include real exam-like questions, detailed explanations, and up-to-date content to help you pass on your first attempt.
Our Salesforce AI Associate practice tests are designed to simulate the real exam environment. They help you:
Understand the exam structure
Identify areas for improvement
Boost your confidence with timed mock exams
Start practicing with our Salesforce AI Associate Practice Tests.
Yes, our practice questions are regularly updated to align with the latest Salesforce AI Associate exam guide and changes in Salesforce's certification policies.
Our Salesforce AI Associate Practice Tests include 200+ questions with a variety of formats, including multiple-choice and multiple-select questions. Each question comes with a detailed explanation for better understanding.
Absolutely! Once you purchase our Salesforce AI Associate Practice Tests, you get unlimited access to take the tests as many times as you need until you feel confident.
Yes, each question in our practice tests includes detailed explanations to help you understand the correct answer and the reasoning behind it. This helps improve your learning and retention.
Once you purchase the Salesforce AI Associate Practice Tests, you will receive instant access through our online portal. You can start practicing immediately by logging into your Passitcerts Account.
Yes, all our Salesforce AI Associate practice questions are curated by Salesforce experts and professionals with years of experience. Our goal is to provide high-quality and reliable preparation material.
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