Data 360 Consultant Data Ingestion And Modeling Practice Question
A Data Cloud consultant is setting up a new S3 data stream for an external system. During the data stream creation wizard, the consultant notices that the date/time fields are not automatically mapping to the correct data type. What is the root cause and the best resolution?
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
✓
S3 ingestion treats all incoming CSV columns as Text by default; the user must define and map data types correctly in the DMO mapping step.
Amazon S3 CSV files send all data as strings or unstructured types. The consultant must define or adjust data types either during the data stream creation step or fix the underlying file formatting before ingestion.
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 S3 does not support date formatting natively, so all dates must be transformed using a formula in Data Cloud after the stream is active.
Why it's wrong here
Data Cloud supports standard ISO date formats directly from S3 without requiring post-ingestion formulas.
- ✗
The Cloud Information Model restricts S3 date fields to string data types until harmonization is completed.
Why it's wrong here
The CIM supports proper Date and DateTime data types.
- ✓
S3 ingestion treats all incoming CSV columns as Text by default; the user must define and map data types correctly in the DMO mapping step.
Why this is correct
CSV data streams from S3 require the user to configure data types during the data stream creation process as they are ingested as strings initially.
- ✗
Data Cloud automatically infers all S3 data types as Text upon initial ingestion, and field types must be manually adjusted in the Data Stream detail page.
Why it's wrong here
Data Cloud attempts type inference based on sample records, but text representation in S3 often requires manual adjustment if formatting is non-standard.
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
This Data 360 Consultant question is part of Courseiva's 519-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Salesforce exam blueprint
This Data 360 Consultant practice question is part of Courseiva's free Salesforce 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 Data 360 Consultant exam.