Over 53586+ Satisfied Customers
$99.98
58%OFF
(Include: PDF + Desktop Test Engine + Online Test Engine)
Instant Download: Upon successful payment, Our systems will automatically send the product you have purchased to your mailbox by email. (If not received within 12 hours, please contact us. Note: don't forget to check your spam.)
Download DemoCustom purchase
Actual4Labs has an unprecedented 99.6% first time pass rate among our customers. We're so confident of our products that we provide no hassle product exchange.
Your Microsoft Azure AI Fundamentals (AI-900日本語版) certification goals are within reach thanks to Actual4Labs. Download 336 up-to-date AI-900日本語 questions right now and streamline your 2026 preparation process securely with our McAfee-protected checkout.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Passing Score: | 700/1000 |
| Exam Duration: | 45-60 |
| Exam Format: | Drag and drop, Sequence ordering, True/False, Multiple-choice, Single-choice |
| Real Exam Qty: | 40-60 |
| Exam Price: | USD 99.00 |
| Available Languages: | Indonesian, Chinese (Simplified), German, French, Spanish, Japanese, English, Portuguese (Brazil), Korean |
| Certificate Validity Period: | No expiration (certification does not expire) |
| Sample Questions: | DOWNLOAD DEMO |
| 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/ |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe features of Natural Language Processing (NLP) workloads on Azure | 15-20% | - Identify Azure AI services for NLP - Identify common NLP tasks - Describe Azure capabilities for NLP |
| Topic 2: Describe fundamental principles of machine learning on Azure | 30-35% | - Describe Azure Machine Learning capabilities - Describe features of no-code automated ML - Identify common machine learning tasks - Describe core machine learning concepts |
| Topic 3: Describe features of Generative AI workloads on Azure | 15-20% | - Identify responsible AI considerations for generative AI - Describe generative AI concepts - Describe Azure OpenAI Service capabilities |
| Topic 4: Describe features of computer vision workloads on Azure | 15-20% | - Describe Azure capabilities for computer vision - Identify Azure AI services for computer vision - Identify common computer vision tasks |
| Topic 5: Describe AI workloads and considerations | 15-20% | - Identify features of common AI workloads - Identify guiding principles for responsible AI |
The AI-900日本語 exam is a core requirement for the Microsoft Certified: Azure AI Fundamentals certification at the Foundational level. Earning this validates your skills for credentials like Microsoft Certified: Azure AI Fundamentals.
Candidates will face 40-60 questions and have 45-60 to complete the exam. This means you need strict time management. We strongly recommend taking timed practice tests to ensure you can maintain a steady pace without rushing when under actual exam time pressure.
The official examination fee is USD 99.00, and you must achieve a score of 700/1000 to pass. Since retaking the test requires paying the full fee again, utilizing accurate practice materials for thorough self-assessment beforehand is crucial to protect your investment.
Candidate requirements include: No formal prerequisites required. Basic knowledge of cloud computing concepts is recommended but not mandatory.. Please verify all eligibility details on the official certification page before scheduling your appointment.
Absolutely. A free PDF demo is available for you to evaluate the quality of our questions. Once purchased, you receive 365 days of free updates. If your access expires, you can renew it at a 50% discount to keep your materials current.
Your AI-900日本語 practice materials are delivered instantly. You can download them right away, and a copy will be sent to your email within one minute (contact support if not received in 2 hours). You can install the software on an unlimited number of computers. We also offer a 100% Money Back Guarantee: if you fail the corresponding exam within 60 days of purchase, you can claim a full refund. To apply, submit your enrollment slip and official Score Report PDF within 2 days after taking the test (processing takes up to 7 days). Note: failures within 3 days of purchase, downloaded but unattempted exams, free materials, and expired orders are excluded. The payer's name must match the candidate's name. Alternatively, you can exchange your order for two free exams of equal value and keep the original product's updates.
The syllabus is divided into 5 main domains. Key areas include "Describe features of Natural Language Processing (NLP) workloads on Azure" (15-20%), "Describe AI workloads and considerations" (15-20%), "Describe fundamental principles of machine learning on Azure" (30-35%). For a comprehensive breakdown of all measured skills, please review the complete exam outline table provided above.
機械学習のタイプを適切なシナリオに一致させます。
答えるには、適切な機械学習タイプを左側の列から右側のシナリオにドラッグします。
各機械学習タイプは、1回使用することも、複数回使用することも、まったく使用しないこともできます。
注：正しい選択はそれぞれ1ポイントの価値があります。
Correct Answer:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Describe features of common AI workloads", there are three primary supervised and unsupervised machine learning types: Regression, Classification, and Clustering. Each type of learning addresses a different kind of problem depending on the data and desired prediction output.
* Regression - Regression models are used to predict numeric, continuous values. The study guide specifies that "regression predicts a number." In the scenario "Predict how many minutes late a flight will arrive based on the amount of snowfall," the output (minutes late) is a continuous numeric value.
Therefore, this is a regression problem. Regression algorithms like linear regression or decision tree regression estimate relationships between variables and predict measurable quantities.
* Clustering - Clustering falls under unsupervised learning, where the model identifies natural groupings or patterns in unlabeled data. The official AI-900 training material states that "clustering is used to find groups or segments of data that share similar characteristics." The scenario "Segment customers into different groups to support a marketing department" fits this description because the goal is to group customers based on behavior or demographics without predefined labels. Thus, it is a clustering problem.
* Classification - Classification is a supervised learning method used to predict discrete categories or labels. The AI-900 content defines classification as "predicting which category an item belongs to." The scenario "Predict whether a student will complete a university course" requires a yes/no (binary) outcome, which is a classic classification problem. Examples include logistic regression, decision trees, or neural networks trained for categorical prediction.
In summary:
* Regression # Predicts continuous numeric outcomes.
* Clustering # Groups data by similarities without predefined labels.
* Classification # Predicts discrete or categorical outcomes.
Hence, the correct and verified mappings based on the official AI-900 study material are:
* Regression # Flight delay prediction
* Clustering # Customer segmentation
* Classification # Course completion prediction
機械学習のタイプを適切なシナリオに一致させます。
答えるには、適切な機械学習タイプを左側の列から右側のシナリオにドラッグします。
各機械学習タイプは、1回使用することも、複数回使用することも、まったく使用しないこともできます。
注：正しい選択はそれぞれ1ポイントの価値があります。
Correct Answer:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and the Microsoft Learn module "Identify features of computer vision workloads on Azure", computer vision models can perform different types of image analysis depending on the goal of the task. The main types include image classification, object detection, and semantic segmentation. Each method analyzes images at a different level of granularity.
* Image Classification # Separate images of polar bears and brown bearsImage classification assigns an entire image to a specific category or label. The model analyzes the image as a whole and determines which predefined class it belongs to. For example, in this case, the model would look at the features of each image and decide whether it shows a polar bear or a brown bear. The Microsoft Learn materials define classification as "assigning an image to a specific category."
* Object Detection # Determine the location of a bear in a photoObject detection identifies where objects appear within an image by drawing bounding boxes around them. This type of model not only classifies what object is present but also provides its location. Microsoft Learn explains that object detection
"detects and locates individual objects within an image." For instance, the model can detect a bear in a forest scene and highlight its position.
* Semantic Segmentation # Determine which pixels in an image are part of a bearSemantic segmentation is the most detailed form of image analysis. It classifies each pixel in an image according to the object it belongs to. In this scenario, the model identifies every pixel corresponding to the bear's body. The AI-
900 content defines this as "classifying every pixel in an image into a category." To summarize:
* Image classification # Categorizes entire images.
* Object detection # Locates and labels objects within images.
* Semantic segmentation # Labels each pixel for precise object boundaries.
https://nanonets.com/blog/how-to-do-semantic-segmentation-using-deep-learning/
機密情報を含むドキュメントの識別に使用できる Azure Cognitive Services サービスはどれですか?
Correct Answer: A 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
個人のデジタル写真のコレクションにラベルを付けるモデルを作成する必要があります。
どの Azure Al サービスを使用する必要がありますか?
Correct Answer: B 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
次の各ステートメントについて、ステートメントがtrueの場合は、[はい]を選択します。それ以外の場合は、[いいえ]を選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。
Correct Answer:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) study guide and Azure Cognitive Services documentation, the Custom Vision service is a specialized computer vision tool that allows users to build, train, and deploy custom image classification and object detection models. It is part of the Azure Cognitive Services suite, designed for scenarios where pre-built Computer Vision models do not meet specific business requirements.
* "The Custom Vision service can be used to detect objects in an image." # YesThis statement is true.
The Custom Vision service supports object detection, enabling the model to identify and locate multiple objects within a single image using bounding boxes. For example, it can locate cars, products, or animals in photos.
* "The Custom Vision service requires that you provide your own data to train the model." # YesThis statement is true. Unlike pre-trained models such as the standard Computer Vision API, the Custom Vision service requires users to upload and label their own images. The system uses this labeled dataset to train a model specific to the user's scenario, improving accuracy for custom use cases.
* "The Custom Vision service can be used to analyze video files." # NoThis statement is false. The Custom Vision service works only with static images, not videos. To analyze video files, Azure provides Video Indexer and Azure Media Services, which are designed for extracting insights from moving visual content.
0 Customer ReviewsCustomers Feedback (* Some similar or old comments have been hidden.)After Payment, our system will send you the products you purchase in mailbox in a minute after payment. If not received within 2 hours, please contact us.
Free update is available within 365 days after your purchase. After 365 days, you will get 50% discounts for updating.
Full refund if you fail the corresponding exam in 60 days after purchasing. And Free get any another product.
We respect customer privacy. We use McAfee's security service to provide you with utmost security for your personal information & peace of mind.
0
0
0
0
If you have any question please leave me your email address, we will reply and send email to you in 12 hours.
Our Working Time: ( GMT 0:00-15:00 )
From Monday to Saturday
