Free AI Engineer Associate [AI-102] Questions and Answers — Questions and Answers
Question 1: Analytics are being performed by a corporation employing conventional web analytical methods to spot phony mobile calls. However, performing data transformation and analysis using the traditional analytical system takes much time. Eventually, it becomes time- and money-inefficient to identify fraudulent calls. <br> <br> Which of the two fully managed Azure services listed below can assist the business in lowering data intake costs and eventually doing real-time analytics?
- Azure Machine Learning
- Event Hub (Correct answer)
- Azure Functions
- HDInsight
- Stream Analytics (Correct answer)
Correct answer: Event Hub
Event Hub can assist by providing a highly scalable data ingestion service that can handle millions of events per second, significantly lowering data intake costs for real-time streams. Stream Analytics can then process this high-volume data in real-time, allowing for immediate analysis and identification of fraudulent calls as they occur. Together, they form a robust real-time analytics pipeline.
Question 2: Which cognitive service API would be most beneficial for: <br> - Scanning text to identify personal data <br> - Using a custom list in-line with content policies to block or allow content
- Text Analytics
- Computer Vision
- Content Moderator (Correct answer)
- Text Protector
Correct answer: Content Moderator
Content Moderator is the most beneficial cognitive service for these tasks. It is specifically designed to scan text, images, and videos for potentially offensive or undesirable content, including identifying personal data. It also allows for the creation of custom lists to block or allow content in line with specific content policies, making it ideal for the described requirements.
Question 3: Which of the following cognitive services is not an Azure Language Cognitive Service?
- Text Analytics
- Speech Service
- Translator (Correct answer)
- Immersive reader
- Language Understanding
- QnA Maker
Correct answer: Translator
Translator is not considered part of the unified Azure AI Language service, which includes Text Analytics, Language Understanding (LUIS), QnA Maker, and Immersive Reader. While Translator deals with language, it is typically categorized as a distinct Azure Cognitive Service focused specifically on real-time text and speech translation. Speech Service is also a separate cognitive service.
Question 4: Using Azure Form Recognizer, you may use machine learning technologies to create automated data processing software. Use Form Recognizer's Prebuilt Receipt model to read sales receipts in English. <br> Please review the options below, then pick three from which Form Recognizer's Prebuilt Receipt model can extract data.
- Discount
- Quantity (Correct answer)
- Receipt Type (Correct answer)
- Payment Method
- Merchant Address (Correct answer)
Correct answer: Quantity
Form Recognizer's Prebuilt Receipt model is designed to extract key data points from sales receipts. Among the options, it can reliably extract the Quantity of items purchased, the overall Receipt Type (e.g., sales receipt), and the Merchant Address. These fields are standard components of most sales receipts and are crucial for automated data processing.
Question 5: You must recognize and remove any video clip deemed to contain adult material. You can use Azure's Video Indexer or Video Analyzer for Media. Which Element would you pick to view the required insights in the video and the time frames where these insights first appear?
- Visual Content Moderation (Correct answer)
- Sentiments
- Shots
- Emotions
Correct answer: Visual Content Moderation
To recognize and remove video clips containing adult material and view insights with time frames, Visual Content Moderation is the correct element. This feature within Azure Video Indexer specifically analyzes video content for adult or racy material. It provides detailed insights, including the exact time segments where such content is detected, enabling precise moderation.
Question 6: A developer is creating a "Deep Search AI solution for a video library company." The solution calls for extracting insights from videos to enhance the user's experience when looking for videos. Another solution component is providing users with the ability to "produce content for social media" based on their films' insights. <br> <br> Which Cognitive Service in Azure should the Developer use?
- Computer Vision
- Face API
- Bing Video Search
- Video Indexer (Correct answer)
Correct answer: Video Indexer
The developer should use Azure Video Indexer. This cognitive service is specifically designed to extract rich insights from videos, including spoken words, faces, emotions, and objects, which is perfect for a 'Deep Search AI solution.' Furthermore, its ability to generate summaries and highlights based on these insights directly supports 'producing content for social media'.
Question 7: A large retail pharmacy chain that has been in business for 80 years and has more than 2000 retail locations intends to upgrade its operations to <br> <br> Lower TCO by moving its on-premises data warehouse for inventory management to the cloud <br> Ensure that analytics are generated efficiency and decision-making is improved <br> The solution can scale on-demand <br> <br> Which Azure offering can help you in setting up a private connection from on-prem to Azure?
- Azure Connect Direct
- Azure Databricks
- Container Instances
- Azure Express route (Correct answer)
Correct answer: Azure Express route
Azure ExpressRoute can help in setting up a private connection from on-premises to Azure. It provides a dedicated, private connection that bypasses the public internet, offering higher reliability, faster speeds, and lower latencies. This is ideal for migrating large data warehouses and ensuring secure, efficient data transfer for analytics.
Question 8: The system could analyze the potential outcomes of each move and forecast future plays by utilizing numerous deep neural networks, reinforcement learning, playing millions of games between its neural networks, and learning human techniques.
- Deep blue - Ibm
- AlphaGo versus Lee Sedol (Correct answer)
- Deep learning
Correct answer: AlphaGo versus Lee Sedol
The description accurately details the capabilities and achievements of AlphaGo versus Lee Sedol. AlphaGo, developed by DeepMind, famously defeated the world champion Go player Lee Sedol using advanced techniques like deep neural networks and reinforcement learning, playing millions of games against itself to master the game.
Question 9: a professional system that might identify bacterial illnesses and make antibiotic recommendations. <br> "the granddaddy" of all expert systems, "the one that launched the field."
- The dartmouth conference
- Interpretability:
- MYCIN - Stanford University (Correct answer)
- Watson - ibm
Correct answer: MYCIN - Stanford University
The expert system described is MYCIN, developed at Stanford University. MYCIN was a pioneering rule-based expert system designed to identify various bacteria causing severe infections and recommend appropriate antibiotics. It is widely recognized as a foundational system that significantly advanced the field of artificial intelligence and expert systems.
Question 10: A "teaching set" of data is sent to a machine learning algorithm, and it is then asked to use that data to respond to a query.
- What is Machine Learning?
- Data Set Used For Training
- Computers Develop Algorithms (Correct answer)
- Parameter Efficient Tuning:
Correct answer: Computers Develop Algorithms
This describes how computers develop algorithms through supervised machine learning. In this process, a 'teaching set' or labeled dataset is fed to an algorithm, which then learns patterns and relationships from this data. The algorithm uses this learned knowledge to make predictions or answer queries on new, unseen data.
Question 11: When a computer learns to identify the best long-term rewards by observing its surroundings, that process is known as reinforcement machine learning. Using a computer to play a game and figure out the best strategy to win is an illustration of this.
- What is a Large Language Model (LLM)?
- What is Reinforcement Machine Learning? (Correct answer)
- What is Reinforcement Machine Learning?
- What is Unsupervised Machine Learning?
Correct answer: What is Reinforcement Machine Learning?
This statement accurately defines Reinforcement Machine Learning. It is a type of machine learning where an agent learns to make decisions by performing actions in an environment to maximize a cumulative reward. The example of a computer learning the best strategy to win a game perfectly illustrates this trial-and-error learning process.
Question 12: Filters "poor" answers to prevent the algorithms from responding to certain input questions.
- Culture:
- Rebuttal:
- Bias: (Correct answer)
- Fine-tuning:
Correct answer: Bias:
This describes how bias manifests in AI systems. If an algorithm is designed to filter or prevent responses based on certain criteria, it can inadvertently or intentionally introduce bias by favoring or disfavoring particular types of inputs or outputs. This filtering mechanism aims to control the model's behavior, but if not carefully managed, it can lead to prejudiced or unfair outcomes, which is a core concern related to AI bias.
Question 13: An input layer and several sublayers make up the machine in a deep learning network. In order to transport information, the neurons continuously build upon one another. According to the article, "the output of one neuron becomes the input to other neurons in the next layer of the network, and this process continues until the last layer creates the output of the network." A piece of input data is used by the deep learning networks to create something useful.
- What is Unsupervised Machine Learning?
- What is a Large Language Model (LLM)?
- What makes up a Deep Learning Network? (Correct answer)
- What are the pros & cons of fine tuning LLMs?
Correct answer: What makes up a Deep Learning Network?
The provided text explicitly details the architectural components of a deep learning network, such as input layers, sublayers, and neurons. It explains how these neurons are interconnected and how information flows from one layer to the next, with the output of one neuron becoming the input for the next. This entire description directly answers the question of what constitutes a deep learning network.
Question 14: A branch of computer science that aims to replicate human thought
- Artificial Intelligence Definition (Correct answer)
- Prompt Engineering:
- Compare And Contrast Dl And Human Learning
- Shakey The Robot
Correct answer: Artificial Intelligence Definition
The definition provided perfectly aligns with the widely accepted understanding of Artificial Intelligence (AI). AI is fundamentally a field of computer science dedicated to creating machines that can perform tasks typically requiring human intelligence, including reasoning, problem-solving, perception, and understanding language. Its core aim is to simulate or replicate aspects of human thought and cognitive abilities.
Question 15: An algorithm that instructs the LLM to concentrate on certain areas of the input.
- Interpretability:
- Attention mechanisms: (Correct answer)
- Fine-tuning:
- Word embedding:
Correct answer: Attention mechanisms:
Attention mechanisms are a crucial component in modern neural networks, especially Large Language Models (LLMs) and Transformers. They allow the model to dynamically weigh the importance of different parts of the input sequence when processing each element, effectively 'focusing' on the most relevant information. This ability to selectively concentrate on specific areas of the input is precisely what the definition describes.
Question 16: was a machine that could grasp human language in its subtleties and respond to queries in a way that resembled a human. <br> It beat the show "Jeopardy."
- Eliza - ail of mit
- Word embedding:
- Deep blue - ibm
- Watson - IBM (Correct answer)
Correct answer: Watson - IBM
IBM's Watson is famously known for its ability to understand natural language, process complex questions, and provide accurate answers, culminating in its victory on the TV show 'Jeopardy!' in 2011. This achievement showcased its advanced capabilities in natural language processing and question answering, making it a landmark in AI development. The description directly matches Watson's historical accomplishments and characteristics.
Free AI Engineer Associate [AI-102] Questions and Answers
Analytics are being performed by a corporation employing conventional web analytical methods to spot phony mobile calls.
However, performing data transformation and analysis using the traditional analytical system takes much time.
Eventually, it becomes time- and money-inefficient to identify fraudulent calls.
Which of the two fully managed Azure services listed below can assist the business in lowering data intake costs and eventually doing real-time analytics?