FREE AI Engineer Associate [AI-102] Questions and Answers
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.
Filters "poor" answers to prevent the algorithms from responding to certain input questions.
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.
Which Cognitive Service in Azure should the Developer use?
Explanation:
Video indexer can be used to extract insights from videos and these insights could be used for:
Deep Search
Content Creation
Accessibility
Monetization
Recommendations
Content Moderations
Which cognitive service API would be most beneficial for:
- Scanning text to identify personal data
- Using a custom list in-line with content policies to block or allow content
Explanation:
The content moderator service includes a moderation API that aids in screening material for potential inappropriateness or objectionability.
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.
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?
Explanation:
Visual content moderation will provide the time ranges in the insights for the identified adult content. If no such content is identified, you will get an empty response. Here is a quick example of the JSON response:
“VisualContentModeration”:[
{
“id”: 0,
“adultScore”: 0.00069,
“racyScore”: 0.91129,
“instances”: [
{
“start”: “00:00:25.4840000”,
“end”: “00:00:25.5260000”
}
]
}
]
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?
Please select 2 correct answers
Explanation:
Data ingestion could be done using event hubs. The source system can transfer the call data to the event hub instance, which can be analyzed in real-time using stream analytics.
A branch of computer science that aims to replicate human thought
An algorithm that instructs the LLM to concentrate on certain areas of the input.
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
Lower TCO by moving its on-premises data warehouse for inventory management to the cloud
Ensure that analytics are generated efficiency and decision-making is improved
The solution can scale on-demand
Which Azure offering can help you in setting up a private connection from on-prem to Azure?
Explanation:
To create secure connections from on-premises to Azure, utilize Azure ExpressRoute.
a professional system that might identify bacterial illnesses and make antibiotic recommendations.
"the granddaddy" of all expert systems, "the one that launched the field."
Which of the following cognitive services is not an Azure Language Cognitive Service?
Explanation:
A linguistic cognition service is NOT a speech service. Speech Service is a cognitive service for speech.
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.
was a machine that could grasp human language in its subtleties and respond to queries in a way that resembled a human.
It beat the show "Jeopardy."
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.
Please review the options below, then pick three from which Form Recognizer's Prebuilt Receipt model can extract data.
Please select 3 correct answers
Explanation:
For reading sales receipts in English, the Prebuilt Receipt model of Form Recognizer is used to extract the quantity of each item.
When reading sales receipts, the Prebuilt Receipt model of Form Recognizer is used to extract the type of receipt.
When reading sales receipts, the Prebuilt Receipt model of Form Recognizer is used to extract the merchant's listed address.