Data Ingestion And Modeling →mediumMultiple SelectObjective-mapped

Data 360 Consultant Data Ingestion And Modeling Practice Question

Which TWO types of schema definitions are required or supported when setting up a batch data stream from Amazon S3? (Choose TWO)

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

✓

Field data types and primary key designations.

S3 batch data streams require file format definitions (like CSV delimiters) and schema field definitions (data types and primary keys).

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✓
Field data types and primary key designations.
Why this is correct
Defining field types and primary keys ensures accurate schema creation in the DSO.
✗
Tableau workbook connection strings.
Why it's wrong here
Tableau strings are unrelated to ingestion schemas.
✗
Apex class definitions for data transformation.
Why it's wrong here
Apex is not supported in batch data stream schemas.
✓
File format and delimiter specifications (e.g., CSV, comma or pipe delimited).
Why this is correct
File formatting details are required to parse flat files correctly.
✗
Marketing Cloud Journey Builder canvas IDs.
Why it's wrong here
Journey IDs are irrelevant to S3 batch streams.

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

Courseiva writes every Data 360 Consultant question from scratch — 519 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

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

Ready to practise?

Put this into practice with a full scored session.

Start practice session

Practice tests

Scored 10-question sessions with instant feedback and explanations.

Data 360 Consultant Practice Test 5 — 25 Questions→Data 360 Consultant Practice Questions 2 — 50 Questions→Data 360 Consultant Practice Exam 4 — 20 Questions→

Study by exam domain

Domains are weighted differently on the real exam — spend your time where you score lowest.

Data Ingestion And Modeling Data Cloud Overview Identity Resolution Setup And Administration

Practice by question type

Practise one question format at a time: exhibits, multi-select, drag-and-drop, troubleshooting.

Browse scenarios

Topic-level practice

Narrow in on a single topic rather than practising the whole bank at once.

Data Ingestion And Modeling practice questions Identity Resolution practice questions Data 360 Consultant fundamentals practice questions

Continue studying

Study guide Exam domains Data 360 Consultant practice test

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.