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Microsoft AI-900 Certification Exam is a great way to demonstrate your understanding of AI and ML technologies to potential employers. Achieving this certification shows that you have a foundational knowledge of AI and can apply it to solve business problems, which is a highly sought-after skill in today's job market. Additionally, this certification can serve as a stepping stone to more advanced certifications and training programs in AI and ML.
Free PDF AI-900 - Perfect Cert Microsoft Azure AI Fundamentals ExamPassing a certification exam means opening up a new and fascination phase of your professional career. Itcertking¡¯s exam dumps enable you to meet the demands of the actual certification exam within days. Hence they are your real ally for establishing your career pathway and get your potential attested. If you want to check the quality of AI-900 certificate dumps, then go for free demo of the dumps and make sure that the quality of our questions and answers serve you the best. You are not required to pay any amount or getting registered with us for downloading free dumps. Microsoft Azure AI Fundamentals Sample Questions (Q12-Q17):NEW QUESTION # 12
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
Graphical user interface, text, application, email Description automatically generated
Box 1: No
The validation dataset is different from the test dataset that is held back from the training of the model.
Box 2: Yes
A validation dataset is a sample of data that is used to give an estimate of model skill while tuning model's hyperparameters.
Box 3: No
The Test Dataset, not the validation set, used for this. The Test Dataset is a sample of data used to provide an unbiased evaluation of a final model fit on the training dataset.
Reference: https://machinelearningmastery.c ... alidation-datasets/
NEW QUESTION # 13
Select the answer that correctly completes the sentence. Answer:
Explanation:
Explanation:
NEW QUESTION # 14
You are developing a model to predict events by using classification.
You have a confusion matrix for the model scored on test data as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point. Answer:
Explanation:
Reference: https://docs.microsoft.com/en-us ... e-model-performance Finding TP is easy. It basically means the value where Predicted and True value is 1 and that is 11 in this case.
False Negative means where true value was 1 but predicted value was 0 and that is 1033 in this case The confusion matrix shows cases where both the predicted and actual values were 1 (known as true positives) at the top left, and cases where both the predicted and the actual values were 0 (true negatives) at the bottom right. The other cells show cases where the predicted and actual values differ (false positives and false negatives). https://docs.microsoft.com/en-us ... gner/evaluate-model
NEW QUESTION # 15
Match the Al solution to the appropriate task.
To answer, drag the appropriate solution from the column on the left to its task on the right. Each solution may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point. Answer:
Explanation:
Explanation:
This question evaluates your understanding of how different Azure AI workloads correspond to specific tasks in image, text, and content generation scenarios, as explained in the Microsoft Azure AI Fundamentals (AI-
900) study guide and Microsoft Learn modules covering common AI workloads and Azure services.
* Generate a caption from a given image # Computer VisionThis is a computer vision task because it involves analyzing the visual elements of an image and producing descriptive text (a caption). Azure AI Vision provides image analysis and captioning capabilities through its Describe Image API, which uses deep learning models to recognize objects, scenes, and actions in an image and automatically generate natural-language descriptions (e.g., "A cat sitting on a sofa").
* Generate an image from a given caption # Generative AIThis task belongs to Generative AI, which focuses on creating new content such as text, code, or images based on prompts. Tools like Azure OpenAI Service with DALL-E can interpret text descriptions and generate realistic images that match the given caption. Generative AI is capable of creative synthesis, not just analysis, making it the appropriate category.
* Generate a 200-word summary from a 2,000-word article # Text AnalyticsText analytics (a subset of natural language processing) allows summarization, sentiment analysis, and entity recognition from large text corpora. Azure AI Language includes text summarization capabilities that condense long documents into concise summaries while preserving meaning and key information.
NEW QUESTION # 17
......
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