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MS-700 Monitor, Report on, and Troubleshoot Teams Practice Question

You are investigating a spike in 'Poor' quality calls across your organization. Which TWO areas should you prioritize in the Call Quality Dashboard (CQD) to identify potential infrastructure bottlenecks?

⚠ Common exam trap

MS-700 often tests the confusion between CQD dimensions (Building/Subnet, Stream quality) and other reports like user activity or device reports, causing candidates to select irrelevant options.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Building and Subnet information

Option A (Building and Subnet information) is correct because CQD lets you pivot quality data by Building, Subnet, and other network dimensions, so correlating Poor calls to a specific building or subnet quickly isolates localized infrastructure bottlenecks such as bad Wi-Fi APs or saturated uplinks. Option C (Stream quality metrics by network path) is correct because CQD's stream-level dimensions (e.g., First/Second/Third segment, network path, and metrics like Packet Loss, Jitter, and Latency) reveal where in the media path degradation occurs, which is exactly how you pinpoint an infrastructure bottleneck. Option B (Tenant-wide user activity trends) is not a priority here because aggregate activity volume does not localize the infrastructure fault causing Poor quality. Option D (Individual user chat logs) is irrelevant since CQD focuses on call/meeting quality telemetry, not chat content, and per-user chat logs would not expose network bottlenecks. Option E (Client software version adoption) is not a priority for an infrastructure bottleneck investigation, as version adoption is a deployment/compliance metric rather than a network-path quality indicator.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Building and Subnet information

    Why this is correct

    Analyzing data by building and subnet is crucial for identifying if poor call quality is localized to a specific physical location. If a particular office consistently shows high jitter or packet loss, it indicates potential configuration issues within that specific site's local area network.

  • ✗

    Tenant-wide user activity trends

    Why it's wrong here

    User activity trends track how many users are active or how many chats were sent, which is helpful for adoption metrics but does not provide diagnostic insight into why audio quality is failing across specific network segments or geographic regions of the organization.

  • ✓

    Stream quality metrics by network path

    Why this is correct

    Analyzing stream quality based on the network path allows administrators to determine if issues occur between the user and the edge, or within the backbone. This helps isolate whether the issue is related to an ISP provider or internal routing misconfigurations affecting media.

  • ✗

    Individual user chat logs

    Why it's wrong here

    Chat logs do not contain media-related telemetry and are irrelevant for troubleshooting call quality. These logs are primarily used for compliance or investigations into workplace conduct and do not assist in identifying network bottlenecks or media-stream performance degradation in Teams environments.

  • ✗

    Client software version adoption

    Why it's wrong here

    While client versioning can impact performance, it is generally secondary to network infrastructure issues when investigating a sudden, organization-wide spike in poor quality. Focusing on network-centric data in CQD provides more immediate actionable intelligence regarding infrastructure bottlenecks and potential routing failures.

Visual reference

192.168.1.0 /24 256 addresses (254 usable) 192.168.1.0 /25 Subnet A 128 addr (126 usable) 192.168.1.128 /25 Subnet B 128 addr (126 usable) Borrowing 1 bit from host portion creates 2 subnets (/25)

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official Microsoft exam blueprint

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