Microsoft Updated AI-102 Exam Questions and Answers by orin

To identify music band names in text with minimal development , use Entity linking in Azure AI Language. Entity linking detects entities in text and disambiguates them by mapping to entries in a knowledge base such as Wikipedia , which covers many bands and artists. This avoids the need to build and train a custom NER model. Key phrase extraction won’t resolve entities, and CLU targets intent/utterance understanding rather than encyclopedic entity resolution. Azure Docs

Microsoft References

Azure AI Language — Entity linking : identifies entities and links to Wikipedia/KB entries.

Comprehensive Detailed Explanation

The requirement is:

Implement a relational database in Azure.

Minimize ongoing maintenance.

Let’s analyze each option:

A. SQL Server on Azure Virtual Machines

This is an IaaS solution.

You (the customer) are responsible for OS patching, SQL Server installation, backups, updates, and maintenance.

High maintenance burden → not the right choice.

B. Azure SQL Database

This is a PaaS (Platform as a Service) offering.

Microsoft manages infrastructure, patching, backups, and high availability.

You only manage the schema, tables, and data.

Best fit for minimizing maintenance.

C. Azure HDInsight

This is a big data and analytics service, designed for Hadoop, Spark, Hive, etc.

Not a relational database. → incorrect.

D. Azure Cosmos DB

This is a globally distributed NoSQL database (supports multiple APIs: SQL API, MongoDB API, Cassandra API, etc.).

While it reduces maintenance, it is not a relational database. → incorrect.

Correct Answer: B. Azure SQL Database

Microsoft References

What is Azure SQL Database?

SQL Server on Azure VMs vs. Azure SQL Database

Azure Metrics Advisor builds on Anomaly Detector but adds root cause analysis , correlation across multiple signals, incident detection, and alerting out-of-the-box.

D. Anomaly Detector → Works for single-signal anomaly detection but lacks correlation and root cause analysis.

C. Azure Machine Learning → Would work but requires custom model development (more dev effort).

B. Form Recognizer → Used for document processing, not sensor telemetry.

Correct Answer: A

For consistent, deterministic answers about policy PDFs with minimal effort, use Azure AI Language – Question Answering (Custom Question Answering). You can ingest PDFs into a knowledge base and define/curate the exact answers. The service then returns the same answer for the same question every time (subject to your KB content and configuration), avoiding the variability of generative models and custom ML. Microsoft Azure +2

Microsoft References:

What is Custom Question Answering? (Language service). Microsoft Learn

Azure AI Language – Question Answering product page. Microsoft Azure

Azure AI Language overview (includes Question Answering feature)