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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Certificate Validity Period: | No expiration (certification does not expire) |
| Exam Duration: | 45-60 |
| Real Exam Qty: | 40-60 |
| Exam Price: | USD 99.00 |
| Exam Format: | Sequence ordering, Drag and drop, Single-choice, Multiple-choice, True/False |
| Passing Score: | 700/1000 |
| Available Languages: | English, Japanese, French, Spanish, Portuguese (Brazil), Korean, Chinese (Simplified), Indonesian, German |
| Sample Questions: | Microsoft AI-900 Sample Questions |
| Exam Way: | Online proctored exam or in-person testing center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required. Basic knowledge of cloud computing concepts is recommended but not mandatory. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/certifications/exams/ai-900/ |
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Microsoft AI-900 Certification Exam is an online exam that can be taken from the comfort of your home or office. AI-900 exam consists of 40-60 multiple-choice questions that must be completed within 60 minutes. AI-900 exam fee is $99 USD, and candidates can register for the exam on the Microsoft website. The passing score for the AI-900 exam is 700 out of 1000.
To pass the AI-900 exam, candidates need to demonstrate their knowledge of AI fundamentals and their ability to apply AI concepts to real-world scenarios. AI-900 exam consists of 40-60 multiple-choice and multiple-response questions, and candidates have 60 minutes to complete the exam. Microsoft recommends that candidates have some experience with Azure services and a basic understanding of programming concepts before taking the exam.
| Exam Name | Microsoft Certified - Azure AI Fundamentals |
| Exam Price | $99 (USD) |
| Schedule Exam | Pearson VUE |
| Exam Code | AI-900 |
| Sample Questions | Microsoft Azure AI Fundamentals Sample Questions |
| Books / Training | Course AI-900T00: Microsoft Azure AI Fundamentals |
| Passing Score | 700 / 1000 |
| Duration | 60 mins |
NEW QUESTION # 231
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation
NEW QUESTION # 232
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation:
According to Microsoft's Responsible AI principles, one of the six core principles is fairness, which ensures that AI systems treat all individuals equitably and that their outcomes are not influenced by biases present in the training data or algorithms. The official Microsoft Learn module "Identify the guiding principles for responsible AI" clearly defines fairness as the requirement that AI systems should not amplify or perpetuate existing societal biases.
In this scenario, the statement emphasizes that AI systems should NOT reflect biases from the datasets used to train them, which directly aligns with the fairness principle. Bias in AI models can arise when the data used for training is unbalanced or not representative of the real-world population. For instance, if a facial recognition model is trained mostly on images of one demographic group, it may perform poorly on others- an example of unfair bias. Microsoft advocates building and testing AI systems with diverse, high-quality datasets to ensure fair performance across all groups.
The other principles listed-accountability, inclusiveness, and transparency-are also important but do not directly address bias mitigation:
* Accountability ensures that people remain responsible for AI systems and their decisions.
* Inclusiveness promotes accessibility and usability for all people, including those with disabilities.
* Transparency focuses on explaining how AI systems make decisions.
However, Fairness explicitly deals with avoiding discrimination and bias in AI outcomes and training data.
Thus, in Microsoft's Responsible AI framework, ensuring that systems do not reflect biases from datasets is part of the Fairness principle, which promotes equitable and unbiased treatment for all individuals in AI- driven decisions.
NEW QUESTION # 233
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 234
Match the Azure Cognitive Services to the appropriate Al workloads.
To answer, drag the appropriate service from the column on the left to its workload on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
NEW QUESTION # 235
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/overview
NEW QUESTION # 236
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