Microsoft Microsoft Certifications AI-102 Questions & Answers

• Question 81:

  You need to implement a table projection to generate a physical expression of an Azure Cognitive Search index.

  Which three properties should you specify in the skillset definition JSON configuration table node? Each correct answer presents part of the solution. (Choose three.)

  NOTE: Each correct selection is worth one point.

  A. tableName

  B. generatedKeyName

  C. dataSource

  D. dataSourceConnection

  E. source

  Correct Answer: ABE

  Defining a table projection.

  Each table requires three properties:

  tableName: The name of the table in Azure Storage. generatedKeyName: The column name for the key that uniquely identifies this row. source: The node from the enrichment tree you are sourcing your enrichments from. This node is usually

  the output of a shaper, but could be the output of any of the skills.

  Reference:

  https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview

• Question 82:

  What ate two uses of data visualization? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

  A. Communicate the significance of data.

  B. Represent trends and patterns over time.

  C. Implement machine learning to predict future values.

  D. Enforce business logic across reports.

  Correct Answer: AB

• Question 83:

  You are building a Language Understanding model for an e-commerce platform. You need to construct an entity to capture billing addresses. Which entity type should you use for the billing address?

  A. machine learned

  B. Regex

  C. geographyV2

  D. Pattern.any

  E. list

  Correct Answer: A

  An ML entity can be composed of smaller sub-entities, each of which can have its own properties. For example, Address could have the following structure:

  Address: 4567 Main Street, NY, 98052, USA Building Number: 4567 Street Name: Main Street State: NY Zip Code: 98052 Country: USA

  https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-entity-types

• Question 84:

  Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

  After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

  You create a web app named app1 that runs on an Azure virtual machine named vm1.

  Vm1 is on an Azure virtual network named vnet1.

  You plan to create a new Azure Cognitive Search service named service1.

  You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet.

  Solution: You deploy service1 and a public endpoint, and you configure an IP firewall rule.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  Reference: https://docs.microsoft.com/en-us/azure/private-link/private-link-overview

• Question 85:

  You have a Video Indexer service that is used to provide a search interface over company videos on your company's website. You need to be able to search for videos based on who is present in the video. What should you do?

  A. Create a person model and associate the model to the videos.

  B. Create person objects and provide face images for each object.

  C. Invite the entire staff of the company to Video Indexer.

  D. Edit the faces in the videos.

  E. Upload names to a language model.

  Correct Answer: A

  Video Indexer supports multiple Person models per account. Once a model is created, you can use it by providing the model ID of a specific Person model when uploading/indexing or reindexing a video. Training a new face for a video updates the specific custom model that the video was associated with.

  Note: Video Indexer supports face detection and celebrity recognition for video content. The celebrity recognition feature covers about one million faces based on commonly requested data source such as IMDB, Wikipedia, and top LinkedIn influencers. Faces that aren't recognized by the celebrity recognition feature are detected but left unnamed. Once you label a face with a name, the face and name get added to your account's Person model. Video Indexer will then recognize this face in your future videos and past videos.

  Reference: https://docs.microsoft.com/en-us/azure/media-services/video-indexer/customize-person-model-with-api

• Question 86:

  You have a SQL query that combines customer data and order data. The query includes calculated columns. You need to create a database object that would allow other users to rerun the same SOL query. What should you create?

  A. an Index

  B. a view

  C. a scalar function

  D. a table

  Correct Answer: B

• Question 87:

  What should you use to build a Microsoft Power Bi paginated report?

  A. Power BI Report Builder

  B. Charciculator

  C. Power BI Desktop

  D. the Power BI service

  Correct Answer: A

• Question 88:

  A customer uses Azure Cognitive Search.

  The customer plans to enable a server-side encryption and use customer-managed keys (CMK) stored in Azure.

  What are three implications of the planned change? Each correct answer presents a complete solution.

  NOTE: Each correct selection is worth one point.

  A. The index size will increase.

  B. Query times will increase.

  C. A self-signed X.509 certificate is required.

  D. The index size will decrease.

  E. Query times will decrease.

  F. Azure Key Vault is required.

  Correct Answer: ABF

  "Customer-managed keys require an additional billable service, Azure Key Vault, which can be in a different region, but under the same subscription, as Azure Cognitive Search. Enabling CMK encryption will increase index size and degrade

  query performance."

  same document also lists Azure Key Vault as a requirement:

  https://docs.microsoft.com/en-us/azure/search/search-security-overview#data-protection

• Question 89:

  Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

  After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

  You develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.

  You need to add the new images to the classifier. Solution: You add the new images, and then use the Smart Labeler tool.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  The model need to be extended and retrained.

  Note: Smart Labeler to generate suggested tags for images. This lets you label a large number of images more quickly when training a Custom Vision model.

• Question 90:

  What should you use to automatically delete blobs from Azure Blob Storage?

  A. the change feed

  B. a lifecycle management policy

  C. soft delete

  D. archive storage

  Correct Answer: D