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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Price: | USD 165 (varies by country/region) |
| Certificate Validity Period: | 1 year (renewable annually via Microsoft certification renewal assessment) |
| Exam Format: | Multiple choice, Multiple response, Build/review solution scenarios, Drag and drop, Case studies |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals (AI-900) |
| Exam Duration: | 100-120 |
| Passing Score: | 700 (out of 1000) |
| Real Exam Qty: | 40-60 (approximate range) |
| Available Languages: | French, English, Japanese, Portuguese (Brazil), Spanish (Latin America), Simplified Chinese, Korean, German |
| Recommended Training: | Microsoft Learn AI-102 Learning Path Azure AI Engineer Associate Study Resources |
| Exam Registration: | Microsoft Certification Exam Registration (Pearson VUE) Microsoft Learn AI-102 Certification Page |
| Sample Questions: | Microsoft AI-102 Sample Questions |
| Exam Way: | Online proctored or onsite test center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required, but familiarity with Azure fundamentals and AI/ML concepts is recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/ |
Hundreds of Microsoft aspirants have cracked the Designing and Implementing a Microsoft Azure AI Solution examination by just preparing with our real test questions. If you also want to become a Microsoft certified without any anxiety, download Microsoft updated test questions and start preparing today. These Real AI-102 Dumps come in desktop practice exam software, web-based practice test, and AI-102 PDF document. Below are specifications of these three formats.
Microsoft AI-102 Certification Exam is an excellent opportunity for professionals looking to advance their careers in AI solution development and implementation. Designing and Implementing a Microsoft Azure AI Solution certification will validate their skills and knowledge, making them more valuable to organizations that are looking to leverage AI technologies to improve their business processes and gain a competitive edge in the market.
NEW QUESTION # 303
Your company uses an Azure Cognitive Services solution to detect faces in uploaded images. The method to detect the faces uses the following code.
You discover that the solution frequently fails to detect faces in blurred images and in images that contain sideways faces.
Answer: C
Explanation:
Evaluate different models.
The best way to compare the performances of the detection models is to use them on a sample dataset. We recommend calling the Face - Detect API on a variety of images, especially images of many faces or of faces that are difficult to see, using each detection model. Pay attention to the number of faces that each model returns.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model
NEW QUESTION # 304
You are building a Language Understanding model for purchasing tickets.
You have the following utterance for an intent named PurchaseAndSendTickets.
Purchase [2 audit business] tickets to [Paris] [next Monday] and send tickets to [email@domain.com] You need to select the entity types. The solution must use built-in entity types to minimize training data whenever possible.
Which entity type should you use for each label? To answer, drag the appropriate entity types to the correct labels. Each entity type may be used once, more than once, or not at all.
You may need to drag the split bar between panes or scroll to view content.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-geographyv2
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-machine-learned-entity
NEW QUESTION # 305
You are building a retail chatbot that will use a QnA Maker service.
You upload an internal support document to train the model. The document contains the following question:
"What is your warranty period?"
Users report that the chatbot returns the default QnA Maker answer when they ask the following question:
"How long is the warranty coverage?"
The chatbot returns the correct answer when the users ask the following question: 'What is your warranty period?" Both questions should return the same answer.
You need to increase the accuracy of the chatbot responses.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose three.)
Answer:
Explanation:
Explanation:
Step 1: Add alternative phrasing to the question and answer (QnA) pair.
Add alternate questions to an existing QnA pair to improve the likelihood of a match to a user query.
Step 2: Retrain the model.
Periodically select Save and train after making edits to avoid losing changes.
Step 3: Republish the model
Note: A knowledge base consists of question and answer (QnA) pairs. Each pair has one answer and a pair contains all the information associated with that answer.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/edit-knowledge-base
NEW QUESTION # 306
You are building a model to detect objects in images.
The performance of the model based on training data is shown in the following exhibit.
Answer:
Explanation:
Explanation
NEW QUESTION # 307
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
NEW QUESTION # 308
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