CLF-C02 Cloud Technology and Services Practice Question
Which AWS service enables no-code integration between SaaS applications (like Salesforce, ServiceNow, Zendesk) and AWS services for automated data flows?
⚠ Common exam trap
Many candidates confuse Amazon EventBridge's event routing capability with the actual data integration and transformation features of AppFlow, assuming EventBridge can directly pull data from SaaS apps without custom code.
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
✓
Amazon AppFlow
Amazon AppFlow is the correct service because it is specifically designed for no-code integration between SaaS applications (such as Salesforce, ServiceNow, and Zendesk) and AWS services, enabling automated data flows without writing any code. It supports bi-directional data transfer, transformation, and filtering, making it ideal for syncing customer records or support tickets directly into Amazon S3 or Redshift.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS DataSync
Why it's wrong here
AWS DataSync is an online data transfer service designed to move large volumes of file and object data between on-premises storage and AWS, or between AWS storage services. It relies on an agent to connect to NFS, SMB, S3, EFS, and FSx endpoints, but it does not have connectors to SaaS applications like Salesforce or ServiceNow. Because those applications expose REST APIs with custom authentication and data schemas, DataSync cannot handle them; AppFlow provides those SaaS-specific connectors natively.
- ✓
Amazon AppFlow
Why this is correct
Amazon AppFlow is a fully managed integration service that lets you securely exchange data between SaaS applications and AWS services, such as S3, Redshift, and Salesforce. It provides pre-built connectors for dozens of SaaS providers, along with capabilities for data transformation, filtering, validation, and scheduling, all without writing custom code. AppFlow supports both pull (SaaS to AWS) and push (AWS to SaaS) flows, including event-triggered and on-demand transfers. This is exactly the no-code, purpose-built SaaS integration approach the scenario describes.
- ✗
AWS Glue
Why it's wrong here
AWS Glue is a serverless ETL service that processes and transforms data for analytics, typically reading from and writing to data stores like S3, databases, and data warehouses. While you can write custom scripts in Spark to call any SaaS API, Glue does not provide pre-built connectors to Salesforce or ServiceNow, so you'd have to implement and maintain the authentication, pagination, and schema mapping. For a no-code integration with built-in SaaS connectors and scheduling, Amazon AppFlow is the intended service, not a general-purpose ETL engine.
- ✗
Amazon EventBridge
Why it's wrong here
Amazon EventBridge is an event bus that routes event notifications from various sources, including SaaS partners, to targets, but it isn't a data synchronization pipeline. It delivers discrete events rather than performing bulk data transfers, transformations, or scheduled replication, and it lacks built-in connectors for pulling complete data sets from SaaS APIs. You would need custom event handlers and transformation logic to achieve the same outcomes, whereas AppFlow is purpose-built for bidirectional SaaS data flows with pre-built connectors and transformations.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CLF-C02 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CLF-C02 exam.