Online Access Free AI-900 Exam Questions

All are covered in the actual AI-900 test.

No.# Gimini and deepseek answer Yes, Yes, No

Let's analyze each statement about transformer models:

Statement 1: A transformer model architecture uses self-attention.

Answer: Yes
Explanation: Self-attention is a fundamental and defining characteristic of transformer models. It allows the model to weigh the importance of different parts of the input sequence when processing it, capturing long-range dependencies and relationships within the data.
Statement 2: A transformer model architecture includes an encoder block and a decoder block.

Answer: Yes
Explanation: The typical transformer architecture includes both an encoder and a decoder. The encoder processes the input sequence, and the decoder generates the output sequence. Both blocks are composed of multiple layers, each containing self-attention mechanisms and other sub-layers.
Statement 3: A transformer model architecture includes an encryption block or a decryption block.

Answer: No
Explanation: While transformers are used in some cryptographic applications, encryption and decryption are not inherent components of the standard transformer architecture. Transformers are primarily designed for sequence-to-sequence tasks like natural language processing, not for cryptographic operations. The "encoder" and "decoder" terminology in transformers is related to how they process input and generate output sequences, not to encryption/decryption....

No.# Gemini said
The correct answer is D. privacy and security.

Using data obtained without permission directly breaches privacy and security. Here's why:

Privacy: Individuals have a right to control how their data is used. Using data without permission violates this fundamental privacy right.
Security: Data obtained without permission may not have been collected or stored securely, potentially exposing it to unauthorized access or misuse.

No.# I check with Gemini, Deepseek, Claude and Copilot it said.

The correct answer is D. natural language processing.

Here's why:

Natural language processing (NLP) is the branch of AI that deals with enabling computers to understand, interpret, and generate human language. A smart device responding to a question like "What is the stock price of Contoso, Ltd.?" requires NLP to:
Understand the intent of the question (to get a stock price).
Identify the key information ("Contoso, Ltd.").
Potentially formulate a response (which might involve retrieving the stock price from a database or API).

No.# The answer is D. Ensure that a training dataset is representative of the population.

Here's why:
The Microsoft principle of transparency in responsible AI focuses on understanding how AI systems work and their potential impact. A representative training dataset is crucial for transparency because:

Bias Detection: A non-representative dataset can lead to biased AI models. If the data doesn't accurately reflect the real world, the model might make unfair or discriminatory decisions. Transparency requires us to be aware of and mitigate these biases.
Explainability: Understanding the data the model was trained on helps explain its behavior. If we know the data is representative, we have more confidence that the model's outputs are based on real-world patterns, not skewed by a biased dataset.

No.# QnA Maker -> Enables the use of natural language to query a knowledge base.
Speech -> Enables the real-time transcription of speech-to-text.

No.# Let's analyze the statements about translation service calls:

The following service call will accept English text and output Italian and French text. /translate/from=it&to=fr&to=en No. This call specifies from=it (Italian) and to=fr (French) and to=en (English). Therefore, it would translate from Italian to French and English, not from English to Italian and French.

The following service call will accept English text as an input and output Italian and French text. /translate?from=en&to=it&to=fr Yes. This call correctly specifies from=en (English) and to=it (Italian) and to=fr (French), meaning it translates from English to both Italian and French.

The Translator service can be used to translate documents from English to French. Yes. The Azure Translator service supports document translation, allowing you to translate entire documents, not just single sentences or words.

Therefore, the correct answers are:

Statement 1: No
Statement 2: Yes
Statement 3: Yes

No.# Here's the correct matching of Azure AI services to their workloads:

Azure AI Custom Vision: Train custom image classification and object detection models by using your own images. Custom Vision is specifically designed for building tailored image recognition models.

Azure AI Document Intelligence (formerly Form Recognizer): Extract information from scanned forms and invoices. Document Intelligence specializes in extracting text, key-value pairs, and table data from documents.

Azure AI Vision (Computer Vision): Analyze images and video, and extract descriptions, tags, objects, and text. Vision provides pre-trained models and APIs for a wide range of image and video analysis tasks, including object detection, image captioning, and OCR.

No.# I check with Gemini is below.
Statement 1: No
Statement 2: No
Statement 3: Yes

No.# The correct answer is C. Azure AI Custom Vision.
Azure AI Custom Vision is specifically designed for image classification and object detection tasks. It allows you to train a machine learning model on your own collection of digital photographs by uploading and labeling images, then creating a custom vision model that can automatically label and categorize new images.

No.# For no.3 You can use the Translator service to transcribe audible speech into text.

Answer: No

Explanation: While Azure provides speech-to-text capabilities, it's a separate service called Azure Speech to Text. The Translator service is specifically designed for language translation.

No.# Choice 3. I think answer is NO

Explanation from Gemini: While chatbots can be used to engage with customers on various platforms, directly interacting with and responding to reviews on external websites like Google or TripAdvisor is usually not feasible. These platforms often have their own review systems and moderation processes.

No.# The Azure AI Custom Vision service can be used to analyze video files Yes or No?

Why Gemini say Yes

No.# I think the correct answer is D: optical character recognition (OCR)

No.# I think the correct answer is D:privacy and security

No.# This helpful for me

No.# Correct answer and explanation answer are not the same, please correct