* The exhibit shows incremental increases by quarter leading to a cumulative running total, which is best represented with a waterfall chart.
* Ribbon chart shows ranking changes over time, not cumulative totals.
* Bar chart shows simple comparisons, not running totals.
* Decomposition tree is for drill-down analysis, not running totals.
The answer: A
Reference: Waterfall chart in Power BI

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.

Explanation:

You are securing an Azure Cognitive Search resource with two specific requirements:
* Prevent access to Search1 from the internet
* The correct way is to use a private endpoint.
* A private endpoint connects the Cognitive Search resource directly into your virtual network (VNet), blocking public internet access.
* Configuring an IP firewall can restrict access to specific IP ranges but does not fully prevent internet access.
* Azure roles and authentication do not address network-level restrictions.
* Limit the access of each app to specific queries
* This is done via Azure role-based access control (RBAC).
* You can assign different Azure roles or API keys with query rights to control what each app can do.
* Key authentication alone only provides coarse-grained access (admin/query keys) but does not allow fine-grained per-app restrictions.
* RBAC ensures principle of least privilege is enforced.
The answer:
* Prevent access from internet # Create a private endpoint
* Limit access to queries # Use Azure roles
* Secure access to Azure Cognitive Search using private endpoints
* Role-based access control in Azure Cognitive Search

Azure Video Indexer can ingest a video by URL as long as the URL is publicly accessible and directly downloadable (no authentication or HTML landing page). Creating a download link in OneDrive produces a direct-file URL that Video Indexer can fetch and index without you re-uploading the 20-GB file through your browser. A generic OneDrive "sharing link" often lands on a web page (not a direct file) and may require authentication, which Video Indexer cannot crawl. Uploading locally is possible but unnecessary and time- consuming for a 20-GB video.
Microsoft References
* Upload/index videos in Video Indexer (supports uploading from a public URL).https://learn.microsoft.
com/azure/azure-video-indexer/upload-index-videos
* Video Indexer quotas and limits (file size limits; uploading by URL).

Azure Storage provides multiple services, each with different data models:
* Azure Files
* Provides fully managed file shares accessible via SMB/NFS.
* Works like a traditional file system (folders and files).
* Not key/value.
* Azure Blob Storage
* Object storage for unstructured data like images, videos, backups, logs.
* Identified by container + blob name.
* Not strictly a key/value store (though blob name acts as a key).
* Azure Table Storage #
* A NoSQL key/value store for structured, non-relational data.
* Data is stored in tables as entities (rows), with properties (columns).
* Entities are indexed by PartitionKey + RowKey, forming a unique key/value pair.
* Specifically designed for scalable key/value lookups.
* Azure Queue Storage
* Provides message queueing for communication between components.
* Stores ordered messages, not key/value pairs.
The answer: C. Azure Table
* Azure Table Storage overview
* Azure Storage services comparison