Free Practice Questions for Salesforce CRT-550 Exam

The _Click data view in Marketing Cloud stores information about link clicks for up to six months. By writing and executing a SQL query against this data view in Automation Studio, the customer can accurately identify subscribers who have clicked on any links within the specified timeframe.​

A Verification Activity in Automation Studio checks the number of records in a data extension before proceeding. If the number exceeds a specified threshold (e.g., 2500 contacts), the automation can be halted, preventing the send.​

Comprehensive Explanation:

In Salesforce Marketing Cloud, applying a Retention Policy to a data extension helps manage data storage by automatically deleting records after a specified period.​

Option B: By deleting data older than twelve months, NTO ensures that only relevant data remains. Subsequently, configuring a Retention Policy via Contact Builder will automate the deletion of records beyond the desired retention period moving forward.​

Option D: Creating a new data extension with a predefined Retention Policy is a proactive approach. This ensures that only data within the desired retention period is stored, and it avoids potential issues with applying retention policies to existing data extensions that have exceeded certain thresholds.​

✅ Comprehensive and Detailed Explanation:

This is a classic transactional use case involving multiple channels: if the password reset email fails to send, the system must fallback to SMS delivery.

The best-practice solution is to:

Use a Transactional Send API for password reset emails.

Use the Event Notification Service (ENS) to monitor delivery or bounce events in near real-time.

Based on failure status, trigger an API call to initiate an SMS message.

D is the only option that uses Salesforce’s native ENS and API infrastructure for near real-time failure handling, which meets the requirement for “timely delivery.”

❌ Why Other Options Are Incorrect:

A. The Not Sent data extract is not real-time and is typically processed in batch — not suited for password resets that require instant fallback.

B. Engagement Splits (e.g., link clicked) are not ideal for determining whether an email was delivered or not. Plus, password resets don’t rely on email clicks — they’re more about deliverability.

C. API responses for triggered email sends do not reflect actual delivery success or failure — they only reflect submission status. You need ENS to monitor actual send results.

Exact Extracts from Salesforce Documentation:

Salesforce Event Notification Service (ENS): "ENS sends near-real-time email delivery, bounce, or click events to external systems so you can monitor transactional sends and take automated actions (e.g., triggering an SMS)."

— Source: https://developer.salesforce.com/docs/marketing/marketing-cloud/guide/ens-overview.html

Transactional Email via API: "Use the Transactional Messaging API to send password resets or other 1-to-1 emails. Integrate with Event Notification Service to determine the outcome of each message."

— Source: https://developer.salesforce.com/docs/marketing/marketing-cloud/guide/sendTransactionalEmail.html

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Comprehensive and Detailed Explanation:

The correct answers are A and B.

A — Import Activity: To bring the latest coupon code counts into Marketing Cloud from an external system or FTP.

B — Verification Activity: To check that a data extension meets a specified condition, such as the number of records (coupon codes) not falling below a certain threshold. If it fails, the automation can notify users.

❌ Why others are wrong:

C: Data Extract Activity is for file extraction from Marketing Cloud, not real-time monitoring.

D: Filter Activity is used for segmenting subscribers, not for conditional validation.

Exact Extract from Salesforce Official Documentation:

Salesforce Help — Verification Activity:

"Verification activities check a data extension or file to validate that it meets predefined conditions, such as record count. Failure of the verification can trigger a notification."

(Source: https://help.salesforce.com/s/articleView?id=sf.mc_automation_studio_verification_activity.htm )

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✅ Comprehensive and Detailed Explanation:

B (Publication List) allows subscribers to opt down or up in terms of subscription types. Customers indicating product interests and preferred messaging frequency would fit into Publication List management.

C (Auto-Suppression List) can exclude certain groups or preferences at the message send level automatically, especially if customers opt-down or unsubscribe partially.

❌ Why Others Are Incorrect:

A: Suppression Lists are manually managed and aren't dynamically tied to preferences.

D: Domain Exclusion blocks entire domains (e.g., gmail.com) — not individual preference management.

Exact Extract:

Salesforce Help: Publication Lists Overview

"Publication lists manage opt-ins and opt-outs at a more granular level, allowing customers to control which messages they want to receive."

Salesforce Help: Auto-Suppression Lists

"Auto-suppression lists automatically prevent messages from being sent to specific subscribers based on business rules and preferences."

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Understanding why 10 years of historical data is required will help assess if storing all that data in Marketing Cloud is necessary and practical (A).

Knowing whether their account includes Large Data Extensions is critical because standard Data Extensions might not efficiently support 200+ million records (C).

Timing (B) and API rate (D) are relevant for optimization but not as critical as validating storage capabilities and necessity.

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Exact Extracts from Salesforce Documentation:

Source: Salesforce Help – Large Data Extensions Overview

→ "Large Data Extensions are required for storing more than 30 million records and for managing massive datasets efficiently."

Source: Salesforce Best Practices – Data Management Discovery

→ "Clarify the business purpose of historical data import to align storage and performance with actual marketing needs."

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Comprehensive and Detailed Explanation:

The correct answer is C — MuleSoft Anypoint Platform.

MuleSoft is Salesforce’s integration platform that allows data transformation, API orchestration, and real-time integration between systems like a POS and Marketing Cloud.

It can modify and deliver data in the proper format required by the Triggered Send API.

❌ Why others are wrong:

A: Datorama is for marketing analytics, not transactional API integration.

B: Data Studio is a data marketplace, not an integration platform.

D: "Data Connector" is not a standalone Salesforce product for such API transformations.

Exact Extract from Salesforce Official Documentation:

Salesforce Help — MuleSoft and Marketing Cloud Integration:

"Use MuleSoft Anypoint Platform for real-time data transformation and integration, allowing external systems to trigger transactional messaging via Marketing Cloud APIs."

(Source: https://help.salesforce.com/s/articleView?id=sf.mc_integration_mulesoft.htm )

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To filter records entering a journey based on an updated status field (“shipped”), the marketer should use:

An Entry Source Filter to limit which contacts actually enter the journey at the point of entry (e.g., only those whose order status is 'shipped' today).

An SQL Query to preprocess or segment records within a Data Extension before injecting them into the journey.

Filter Activity is used inside Automation Studio (not at the journey entry point), and Decision Splits occur after entry — not before.

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Exact Extracts from Salesforce Documentation:

Source: Salesforce Help – Entry Source Filters

→ "An entry source filter defines criteria that records must meet before entering a journey."

Source: Salesforce Help – SQL Query Activities

→ "Use SQL Query Activities to select, transform, and filter data from one or more data extensions."

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