COF-C03 Data Loading, Unloading, and Connectivity Practice Question
A data engineer is configuring a Snowflake storage integration to allow Snowflake to access an external S3 bucket. The engineer needs to ensure that the integration has the necessary permissions to read and write data. Which two actions must the engineer perform? (Choose two.)
⚠ Common exam trap
The trap here is thinking that public access or storing credentials is required, but storage integrations use IAM role assumption with temporary credentials.
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
✓
Grant the IAM role permissions to access the S3 bucket, such as s3:GetObject, s3:PutObject, s3:ListBucket, and s3:GetBucketLocation.
To configure a storage integration for S3, you must create an IAM role in AWS that trusts Snowflake's AWS account and has the necessary S3 permissions. These two actions are essential for Snowflake to assume the role and access the bucket. Other options are either insecure or optional. The integration uses temporary credentials, so storing access keys is not needed.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set the STORAGE_ALLOWED_LOCATIONS parameter in the storage integration to restrict access to specific S3 paths.
Why it's wrong here
While STORAGE_ALLOWED_LOCATIONS is a good security practice to limit access, it is not strictly required for the integration to function. The integration will work without it, though it may allow access to any location the IAM role can access. The required actions are creating the IAM role and granting permissions. This parameter is optional but recommended for least privilege.
- ✓
Grant the IAM role permissions to access the S3 bucket, such as s3:GetObject, s3:PutObject, s3:ListBucket, and s3:GetBucketLocation.
Why this is correct
This is correct because the IAM role must have a policy that allows the necessary S3 actions on the bucket and its objects. At minimum, read and write permissions like s3:GetObject, s3:PutObject, s3:ListBucket, and s3:GetBucketLocation are required for loading and unloading. Without these permissions, Snowflake will receive access denied errors when attempting to read or write data.
- ✓
Create an IAM role in AWS with a trust policy that allows Snowflake's AWS account to assume the role.
Why this is correct
This is correct because a storage integration requires an IAM role in AWS that Snowflake can assume. The trust policy must specify Snowflake's AWS account ID and an external ID generated by Snowflake. This allows Snowflake to securely access the S3 bucket without storing AWS credentials. Without this trust relationship, Snowflake cannot assume the role and access the bucket.
- ✗
Store AWS access keys and secret keys in the storage integration definition for authentication.
Why it's wrong here
This is incorrect because storage integrations are designed to avoid storing long-term credentials. Instead, they use IAM role assumption with temporary credentials. Storing access keys is less secure and not the recommended method. Snowflake generates an external ID and uses it with the trust policy. Therefore, this is not a required action and should be avoided.
- ✗
Configure the S3 bucket policy to allow public access so Snowflake can read the data.
Why it's wrong here
This is incorrect and insecure. Public access is not required and is a security risk. Snowflake accesses the bucket using the IAM role, not public access. The bucket policy should instead allow the IAM role to perform actions. Making the bucket public could expose data to unauthorized users. Therefore, this is not a required action and is strongly discouraged.
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 |
About these practice questions
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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 Snowflake exam blueprint
This COF-C03 practice question is part of Courseiva's free Snowflake 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 COF-C03 exam.