Explanation:

Summary: 💡
This question assesses knowledge of Marketing Cloud Engagement's reporting and data exploration tools, specifically for non-technical users looking to interactively analyze large email send datasets. The key requirements are the ability to dynamically filter, sort, and group data without needing to write SQL. The Pivot Table feature in Datorama Reports (now Marketing Cloud Intelligence Reports) provides a highly flexible, drag-and-drop interface that perfectly meets these criteria for analyzing email performance data in a detailed, customizable view.

Correct Option: 🏆 Pivot table in Datorama Reports
The Pivot Table in Datorama Reports (Marketing Cloud Intelligence) is the correct choice because it offers an intuitive, drag-and-drop user interface for granular data analysis.
This tool allows a user, who is not comfortable with SQL, to easily slice and dice large volumes of send data.
The marketer can dynamically select Dimensions (e.g., Email Name, Send Date) for rows/columns and Measures (e.g., Sends, Opens, Clicks) to filter, sort, and group data in real-time within a single view.
It is designed for exploratory analysis and summarizing data from multiple perspectives to gain deeper insights into email performance.

Incorrect Options: ❌

A. Filter Activity in Automation Studio
A Filter Activity is designed for segmentation, not interactive analysis. Its primary purpose is to filter records from a source Data Extension or List based on pre-defined criteria to create a new segmented Data Extension or Group for a send. It does not provide an interactive, summary-style reporting interface for filtering, sorting, and grouping existing send performance data for exploration.

B. Email Performance Over Time Report
The Email Performance Over Time Report is a static, predefined report that visualizes metrics over a chosen time period. While useful for high-level trends, it offers limited flexibility for dynamic filtering, sorting, or grouping data by different dimensions (like Campaign, Subject Line, or Business Unit) in the custom, exploratory manner requested, especially when dealing with a large volume of data.

Reference: 📄
Salesforce Help: Pivot Tables Overview in Intelligence Reports

Explanation:

This question is about using the pre-built Datorama dashboards to compare the performance of different Journey Builder journeys. The goal is to find a dashboard that provides a high-level, comparative view of multiple journeys at once, allowing NTO to quickly see which ones are most effective in terms of key metrics like sends, opens, and clicks.

✅ Correct Option

C. Journey Performance by Email Dashboard:
This is the correct preconfigured dashboard. It is specifically designed to aggregate and compare the performance of all your journeys in a single view. It allows you to see a list of your journeys and their associated email metrics side-by-side, making it easy to identify which journeys are performing the best overall.

❌ Incorrect Options

A. Email and Journey Overview Dashboard:
This dashboard provides a high-level snapshot of total email and journey performance across the entire business unit. It shows aggregate totals (e.g., total sends, total opens from all journeys) but is not designed to break down and compare the performance of individual journeys against each other.

B. Email Performance Dashboard:
This dashboard focuses exclusively on the performance of individual emails, not journeys. A single journey can contain multiple emails, and this dashboard would not show the holistic performance of the journey as a single, trackable entity, which is what the question is asking for.

🔗 Reference:
Salesforce Help: Datorama Reports for Marketing Cloud

Explanation:

This question focuses on identifying subscribers who were part of a target audience but did not actually have an email sent to them. This can happen due to suppression lists, data issues, or other factors. The key is to find a tool that provides a list of these specific subscribers for analysis or remediation, rather than just aggregate counts or sent data.

✅ Correct Option

C. Not Sent Tracking Extract:
This is the correct tool for this specific request. The Not Sent Tracking Extract is a file-based data extract that generates a list of individual subscribers who were targeted but did not receive the send. It provides the subscriber-level data (like Subscriber Key) needed to identify exactly who was missed, which is essential for the detailed reporting NTO requires.

❌ Incorrect Options

A. _sent Dataview:
This Data View contains information only about subscribers who were successfully sent an email. It is designed to track engagement (opens, clicks) for those who received the message. It does not contain any records for subscribers who were not sent the email, making it useless for this specific reporting need.

B. 'Subscribers Not Sent To' report:
While this name sounds correct, it is a distractor. There is no standard out-of-the-box report with this exact name in Marketing Cloud that provides a subscriber list. Standard reports typically show aggregate metrics, not a detailed list of subscribers, which is what the question asks for.

🔗 Reference
Salesforce Help: Create a Tracking Extract

Explanation:

Content Builder Approvals in Marketing Cloud ensures emails get reviewed before sending, locking approved content to prevent unauthorized changes. For shared emails across business units, editing requires reverting the approval status first. This maintains compliance while allowing necessary updates, after which re-approval is needed before any send.

Correct Option: ✅ B. Withdraw email approval
Withdrawing approval unlocks the email for edits in Content Builder, even if shared across business units.
It's the direct first step to enable modifications without affecting shares or sends.
Post-withdrawal, the team can revise content and resubmit for approval to ensure quality control.

Incorrect Options:

❌ A. Unshare the email:
Unsharing removes access for other business units but doesn't unlock editing in the original unit; approval status still blocks changes.

❌ C. Cancel send using email:
This only stops scheduled sends and doesn't address editing approved content—it's irrelevant if no send is active.

Reference:
Content Builder Approvals Considerations

Explanation:

Path Optimizer in Salesforce Marketing Cloud's Journey Builder lets marketers test multiple paths in customer journeys to find the most effective one. When the goal is selecting the winner based on website orders—a key conversion metric—configuring for web-based outcomes is essential. This ties directly to tracking user actions like purchases outside email engagement, ensuring data-driven decisions boost ROI.

Correct Option: ✅ C. Web Conversion
Path Optimizer supports Web Conversion as an engagement type to measure outcomes like orders or purchases on external sites.
It automatically evaluates paths using tracked web events, such as completed transactions, to pick the winner.
This setup integrates with website analytics for precise conversion tracking, ideal for e-commerce scenarios like NTO's.

Incorrect Options:

❌ A. Email Engagement:
Focuses on metrics like opens, clicks, or email-specific interactions, not website orders. It won't capture post-email web conversions accurately for path selection.

❌ B. Manual Engagement:
Requires human review to choose the winner, bypassing automation based on data like orders. This defeats the purpose of objective, conversion-driven testing.

Reference:
Path Optimizer Test Activity in Journey Builder