Microsoft AZ-305 Exam Dumps

The minimum number of Azure Monitor workspaces required is <strong>1</strong>. All four monitoring solutions listed - Azure Monitor Network Insights, Application Insights, Microsoft Sentinel, and VM Insights - can be managed within a single Log Analytics workspace. Since the monitoring solution is managed by a single team and there are no isolation or segregation requirements mentioned, consolidating all monitoring data into one workspace is the most efficient approach. A single workspace reduces operational overhead, simplifies management, and allows the team to correlate data across all monitoring sources.

Spark can process Cosmos DB analytical-store data through Synapse Link and write the processed results to the warehouse with minimal movement.

To meet all three monitoring requirements for App1, the recommendation should include <strong>Application Insights (part of Azure Monitor)</strong>. Application Insights provides availability monitoring with alerting capabilities for detecting accessibility issues and sending notifications. It tracks Azure Functions usage through custom metrics and can trigger alerts on high usage thresholds. Application Insights includes comprehensive user behavior analytics that tracks sessions, page views, user flows, and custom events. Additionally, Azure Monitor alerts can be configured to send notifications for both availability issues and function usage thresholds. This integrated solution meets all requirements: availability monitoring with notifications, Azure Functions usage monitoring with alerts, and user behavior analysis.

Azure AD Connect syncs on-premises users to Azure AD, App Service can authenticate against Azure AD using OpenID Connect, and Conditional Access enforces MFA without domain-joining. AADDS is necessary only for Kerberos/NTLM scenarios on VMs. Direct federation is complex and not the recommended pattern. Custom OAuth2 implementation increases operational burden and is not best practice for enterprise SSO.

D: Time Series Insights is a fully managed service for time series data. In this architecture, Time Series Insights performs the roles of stream processing, data store, and analytics and reporting. It accepts streaming data from either IoT Hub or Event Hubs and stores, processes, analyzes, and displays the data in near real time.

C: The processed data is stored in an analytical data store, such as Azure Data Explorer, HBase, Azure Cosmos DB, Azure Data Lake, or Blob Storage.

https://docs.microsoft.com/en-us/azure/architecture/data-guide/scenarios/time-series