ハイパスレートのSalesforce-AI-Associate模擬問題 &合格スムーズSalesforce-AI-Associate入門知識 |最新のSalesforce-AI-Associate受験対策解説集

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Salesforce Salesforce-AI-Associate 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Describe the importance of data quality Explain the basic principles and applications of AI within Salesforce
トピック 2	Apply Salesforce's Trusted AI Principles to given scenarios Describe the benefits of AI as they apply to CRM
トピック 3	Describe the ethical challenges of AI Describe the elements components of data quality
トピック 4	AI Capabilities in CRM Ethical Considerations of AI AI Fundamentals
トピック 5	Identify CRM AI capabilities Differentiate between the types of AI and their capabilities

Salesforce-AI-Associate模擬問題

Salesforce-AI-Associate入門知識 Salesforce-AI-Associate受験対策解説集

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Salesforce Certified AI Associate Exam (SU23) 認定 Salesforce-AI-Associate 試験問題 (Q10-Q15):

質問 # 10
Cloud Kicks wants to develop a solution to predict customers product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a plckllst.
Which data quality dimension is affected in this scenario?

A. Completeness
B. Consistency
C. Accuracy

正解：B

解説：
Explanation
"Consistency is the data quality dimension that is affected in this scenario. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources.
Inconsistent data can cause confusion, errors, or duplication in data analysis and processing. For example, using different field types for the same attribute can affect the consistency of the data."

質問 # 11
What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?

A. Taking responsibility for one's actions toward customers, partners, and society
B. Ensuring transparency In Al-driven recommendations and predictions
C. Safeguarding fundamental human rights and protecting sensitive data

正解：A

解説：
Explanation
"The main focus of the Accountability principle in Salesforce's Trusted AI Principles is taking responsibility for one's actions toward customers, partners, and society. Accountability means that AI systems should be designed and developed with respect for the impact and consequences of their actions on others.
Accountability also means that AI developers and users should be aware of and adhere to the ethical, legal, and regulatory standards and expectations of their industry and domain."

質問 # 12
How does AI which CRM help sales representatives better understand previous customer interactions?

A. Provides call summaries
B. Triggers personalized service replies
C. Creates, localizes, and translates product descriptions

正解：A

解説：
Explanation
"Providing call summaries is how AI with CRM helps sales representatives better understand previous customer interactions. Call summaries are a feature that uses natural language processing (NLP) to analyze voice conversations between sales representatives and customers and generate summaries or transcripts of the calls. Call summaries can help sales representatives better understand previous customer interactions by providing key information, insights, or action items from the calls."

質問 # 13
What is a Key consideration regarding data quality in AI implementation?

A. Data's role in training and fine-tuning Salesforce AI models
B. Integration process of AI models with Salesforce workflows
C. Techniques from customizing AI features in Salesforce

正解：A

解説：
Explanation
"Data's role in training and fine-tuning Salesforce AI models is a key consideration regarding data quality in AI implementation. 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. Data's role in training and fine-tuning Salesforce AI models means understanding how data is used to build, train, test, and improve AI models in Salesforce, such as Einstein Prediction Builder or Einstein Discovery."

質問 # 14
A customer using Einstein Prediction Builder is confused about why a certain prediction was made.
Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?

A. A marketing article of the product that clearly outlines the oroduct's capabilities and features
B. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles
C. An explanation of the prediction's rationale and a model card that describes how the model was created

正解：C

解説：
Explanation
"An explanation of the prediction's rationale and a model card that describes how the model was created should be accessible on the Salesforce Platform following Salesforce's Trusted AI Principle of Transparency.
Transparency means 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."

質問 # 15
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Salesforce-AI-Associate学習教材を購入すると、Salesforce-AI-Associateテストにスムーズかつ簡単に合格します。プロの専門家チームを強化してSalesforce-AI-Associateトレーニング資料を熱心に編成および編集し、販売前後のサービス、24時間のオンラインカスタマーサービス、払い戻しサービスなどの素晴らしいサービスを提供します。 Salesforce-AI-Associateの実際のクイズでは、3つのバージョンとさまざまな機能が強化され、包括的かつ効率的に学習できます。学習教材の学習は時間と労力をほとんど必要とせず、頻繁に更新されます。質問：Salesforce Certified AI Associate Exam (SU23)の詳細については、次のように製品の紹介をご覧ください。

Salesforce-AI-Associate入門知識: https://www.goshiken.com/Salesforce/Salesforce-AI-Associate-mondaishu.html