FREE Azure AI Engineer Questions and Answers

Question 1

You are creating an AI system that will examine several millions of images.
You must suggest a method for keeping the photos.
The answer must be to reduce expenses.
Which storage option would you recommend?

Accepted Answer

Azure Blob Storage

Answer

Field-programmable gate arrays (FPGAs)

Answer

Parse Images: Azure Cognitive Services
Upload data: Azure Data Factory

Answer

Azure Table Storage

Question 2

You launch an application that analyzes the sentiment of data kept in Azure Cosmos DB. You just loaded a lot of data into the database. The information belonged to a client called Geeks, Ltd. You find that Geeks data queries take a while to finish. The answer must be to reduce expenses. What is the best approach to achieving the objective?

Accepted Answer

Change the partioning strategy

Answer

An Azure HDInsight Hadoop cluster

Answer

Downscale the cluster to one node

Answer

1. SQL
2. Spark
3. Local parallel

Question 3

You are creating an AI-based picture categorization solution in Azure. It would help if you decided which processing platform would enable you to upgrade the logic in the future. Without batching, the answer must have the lowest latency for inferencing. Which compute target should you choose?

Accepted Answer

Field-programmable gate arrays (FPGAs)

Answer

Downscale the cluster to one node

Answer

Parse Images: Azure Cognitive Services
Upload data: Azure Data Factory

Answer

Azure Blob Storage

Question 4

You must create an interactive website to upload photographs and pose several predetermined questions in response to each image.

Which services should you use?

Accepted Answer

Dynamically ask questions based on an uploaded image: Azure Bot Service
Analyze and classify an image: Computer vision

Answer

Location to store metadata: Azure blog storage
Virtual machine series to run the vision module: NV
Virtual machine series to run the mathematical model: F

Answer

1. Obtain an SSL certificate
2. Update the web service
3. Update DNS

Answer

Parse Images: Azure Cognitive Services
Upload data: Azure Data Factory

Question 5

You set up an extensive data workload infrastructure. It would help if you used Microsoft Machine Learning Server and Azure HDInsight. You want to launch rx function calls concurrently using RevoScaleR compute contexts. What are the three different computing contexts that the machine learning server supports?

Accepted Answer

1. SQL
2. Spark
3. Local parallel

Answer

An Azure HDInsight Hadoop cluster

Answer

Change the partitioning strategy

Answer

Field-programmable gate arrays (FPGAs)

Question 6

You intend to roll out an application that can recognize images. The application will use two Azure Blog storage stores called Blob1 and Blob2 to store picture data. You must suggest a security measure that complies with the enumerated conditions.
- Access to Blob1 must be controlled by using a role
- Access to Blob2 must be time-limited and constrained to specific operations

Accepted Answer

1. Azure Active Directory (Azure AD)
2. Shared Access Signature (SAS)

Answer

Move data from on-premises to the cloud: self-hosted integration runtime
Consume Cognitive Service APIs: Azure Logic Apps

Answer

1. Obtain an SSL certificate
2. Update the web service
3. Update DNS

Answer

Azure Machine Learning Studio

Question 7

You have a solution that utilizes an Azure Kubernetes Service cluster with five nodes. There is one N-series virtual computer in the group. Once every day and infrequently on demand, an Azure batch AI operation runs. When the cluster is not in use, you must suggest a method for keeping it configured. The solution may incur no computing expenses. What should the recommendation contain?

Answer: Change the partitioning property

Accepted Answer

FALSE

Answer

TRUE

Question 8

Is a machine learning technique where a neural network learns to predict outcomes or categorize data using labeled datasets.
Answer: Supervised machine learning

Accepted Answer

True

Answer

False

Question 9

A type of neural network architecture that is popular in LLM research that uses self-attention mechanisms to process input data.

Accepted Answer

What is Transformers

Answer

What is Interpretability

Answer

What is Prompt engineering?

Answer

What is fine tuning

Question 10

Is a branch of machine learning that employs neural networks to simulate and resolve challenging issues.

Accepted Answer

Deep Learning

Answer

neural networks

Answer

What is fine tuning

Answer

What is Bias