Online Access Free MCIA-Level-1 Exam Questions

No.# Correct Answer: A — The remaining 99,000 records will be lost and left unprocessed

Explanation
How MuleSoft Batch Jobs Work Internally
CharacteristicDetailExecution ScopeA Batch Job instance is bound to the JVM/Runtime instance that initiated itState StorageBatch job execution state (processed/pending records, phase tracking) is maintained in-memory or in local persistent store of that specific replicaDistributionBatch jobs are NOT distributed across cluster replicas — they run on a single nodeRecoveryThere is no built-in cross-replica failover for in-flight batch job instances

No.# Correct anwser : D.
NO, the Mule applications do not need to be rewritten
DevOps NO LONGER needs to manage port conflicts between the Mule applications
Why this matters architecturally

RTF fundamentally changes deployment from:

Shared runtime (tight coupling, manual ops)
➡️ to
Isolated containers (loose coupling, platform-managed networking)

This eliminates an entire class of operational concerns (like port collisions).

No.# D. The object store V2 REST API configured to access the persistent object store
✅ Correct.

Why:

OSv2 provides a REST API specifically designed for cross-application access
This allows multiple CloudHub apps to:
Read/write to the same persistent store
Share state reliably
This is the supported and recommended approach for sharing OSv2 across apps

No.# D. The object store V2 REST API configured to access the persistent object store
✅ Correct.

Why:

OSv2 provides a REST API specifically designed for cross-application access
This allows multiple CloudHub apps to:
Read/write to the same persistent store
Share state reliably
This is the supported and recommended approach for sharing OSv2 across apps

No.# Correct answer E.
The pom.xml and Mule configuration YAML files can remain unchanged in each Mule application. A --runtimeFabric command-line parameter should be added to the CI/CD deployment scripts.

No.# Correct answer D.
Both Correlation ID values stored as Mule event variable/attribute ✅


Why this is best:

Data is scoped to one message, one flow execution

Mule event variables are:

Fast (in-memory)

Clean

Easy to maintain

High availability is already handled by:

JMS

Competing consumer pattern

No.# A Batch Job:

Runs on one replica

Does not checkpoint progress across replicas

Cannot be resumed mid-way after a crash

Runtime Fabric will replace the failed replica, but:

The Batch Job state is lost

What does Runtime Fabric do?

The failed replica is replaced by a new replica

The application restarts

The Batch Job:

Does NOT resume at record 1,001

Starts again from the beginning

This can lead to duplicate processing unless the batch is designed to be idempotent.

thus correct answer is C

No.# correct answer C:

Streams data to disk, not memory

Supports very large files (GBs)

Allows the payload to be:

Read multiple times

Transformed and sent to multiple targets

No.# correct answer A

No.# correct answer for me is D

C. Try-Catch for fetch + Async for audit ❌ Try-Catch doesn’t help performance; only adds error handling. Not ideal.
D. Parallel For Each for fetch + Async for audit ✅ Parallel fetch improves throughput if multiple accounts are retrieved one at a time from backend; Async audit ensures inserts do not block main flow. Perfect combination.

No.# correct answer C

A is incorrect because "Streaming to write" doesn’t really apply; FTPS writes are typically chunked, not streamed; also missing the mention of optimal aggregator size tuning.

No.# Correct answer C:

A binary artifact repository
Purpose: Exactly what you need

Stores compiled binaries, JARs, and ZIPs

Examples: Nexus, Artifactory, Azure Artifacts, JFrog, GitHub Packages

Integrates naturally into CI/CD tools (Jenkins, Maven, Gradle, etc.)

Supports versioning, metadata, and promotion

Questions in the dumps and actual exam were quite similar. freecram made it possible for me to achieve 92% marks in the MCIA-Level-1 exam. Thank you so much freecram.