試験の準備方法-便利なSalesforce-AI-Associate更新版試験-正確的なSalesforce-AI-Associate受験対策解説集

  Education   Apr 15, 2024   16  Add to Reading List

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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
  • AI の倫理的課題について説明する
  • データ品質の要素
  • 構成要素について説明する
トピック 2
  • データ品質の重要性について説明する
  • Salesforce 内での AI の基本原則と応用について説明する
トピック 3
  • CRM AI 機能を特定する
  • AI の種類とその機能を区別する
トピック 4
  • Salesforce の信頼できる AI 原則を特定のシナリオに適用する
  • CRM に適用される AI の利点を説明する
トピック 5
  • CRM における AI 機能
  • AI の倫理的考慮事項
  • AI の基礎

>> Salesforce-AI-Associate更新版 <<

Salesforce-AI-Associate受験対策解説集 & Salesforce-AI-Associate勉強の資料

Salesforce-AI-Associate試験はGoShikenの教材を準備し、高品質で合格率が高く、実際の試験を十分に理解しており、Salesforce-AI-Associate学習教材を長年にわたって作成した専門家によって完了します。彼らは、Salesforce-AI-Associate試験の準備をするときに受験者が本当に必要とするものを非常によく知っています。また、実際のSalesforce-AI-Associate試験の状況を非常によく理解しています。実際の試験がどのようなものかをお知らせします。Salesforce-AI-Associate試験問題のソフトバージョンを試すことができます。これにより、実際の試験をシミュレートできます。

Salesforce Certified AI Associate Exam 認定 Salesforce-AI-Associate 試験問題 (Q75-Q80):

質問 # 75
What should organizations do to ensure data quality for their AI initiatives?

  • A. Collect and curate high-quality data from reliable sources.
  • B. Rely on AI algorithms to automatically handle data quality issues.
  • C. Prioritize model fine-tuning over data quality improvements.

正解：A

解説：
Explanation
"Organizations should collect and curate high-quality data from reliable sources to ensure data quality for their AI initiatives. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Reliable sources mean that the data is trustworthy, credible, and authoritative. Collecting and curating high-quality data from reliable sources can improve the performance and reliability of AI systems."

質問 # 76
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 the prediction's rationale and a model card that describes how the model was created
  • C. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles

正解：B

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 # 77
What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?

  • A. Striving for model explain ability
  • B. Working with human rights experts
  • C. Testing models with diverse datasets

正解：C

解説：
"An example of Salesforce's Trusted AI Principle of Inclusivity in practice is testing models with diverse datasets.Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Testing models with diverse datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain."

質問 # 78
What is a sensitive variable that car esc to bias?

  • A. Gender
  • B. Country
  • C. Education level

正解：A

解説：
"Gender is a sensitive variable that can leadto bias. A sensitive variable is a variable that can potentially cause discrimination or unfair treatment based on a person's identity or characteristics. For example, gender is a sensitive variable because it can affect how people are perceived, treated,or represented by AI systems."

質問 # 79
A Salesforce administrator creates a new field to capture an order's destination country.
Which field type should they use to ensure data quality?

  • A. Text
  • B. Number
  • C. Picklist

正解：C

解説：
Explanation
"A picklist field type should be used to ensure data quality for capturing an order's destination country. A picklist field type allows the user to select one or more predefined values from a list. A picklist field type can ensure data quality by enforcing consistency, accuracy, and completeness of the data values."

質問 # 80
......

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