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MuleSoft Certified Integration Architect - Level 1 Practice Test

MCIA-Level-1 test Format | Course Contents | Course Outline | test Syllabus | test Objectives

• Format: Multiple-choice- closed book
• Length: 60 questions
• Duration: 120 minutes (2 hours)
• Pass score: 70%
• Language: English

A MuleSoft Certified Developer – Integration and API Associate (Mule 3) should be able to successfully
work on basic Mule 3 projects with guidance and supervision. The MCD – Integration and API
Associate (Mule 3) test validates that a developer has the required knowledge and skills to design-
build- test- debug- deploy- and manage basic APIs and integrations: moving from Anypoint Platform to
Anypoint Studio and back. Certified candidates should be able to:
• Use MuleSoft-hosted Anypoint Platform to take a basic API through all the steps of its lifecycle:
design- build- deploy- manage- and govern.
• Use Anypoint Studio to build- test- and debug basic integrations and API implementations.
• Connect to a range of resources — including databases- files- web services- SaaS applications-
and JMS queues.
• Perform basic data transformations using DataWeave.
• Control message flow and handle errors.
• Process batch records.

Explaining application network basics Resources
• Explain MuleSoft’s proposal for closing the IT delivery gap.
• Describe the role and characteristics of the “modern API.”
• Describe the purpose and roles of a Center for Enablement (C4E).
• Define and describe the benefits of API-led connectivity and
application networks.
• Define and correctly use the terms API- API implementation- API
interface- API consumer- and API invocation.
• Describe the basics of the HTTP protocol and the characteristics of
requests and responses.
• Describe the capabilities and high-level components of Anypoint
Platform for the API lifecycle.
• DEV: FUN3 Module 1
• DEV: FUN3 Module 2
Designing and consuming APIs
• Describe the lifecycle of the “modern API.”
• Use RAML to define API resources- nested resources- and methods.
• Identify when and how to define query parameters vs URI
parameters.
• Use RAML to define API parameters- requests- and responses.
• Use RAML to define reusable data types and format-independent
examples.
• Read a RAML spec and formulate RESTful requests with query
parameters and/or headers as appropriate.
• DEV: FUN3 Module 3
• DEV: DIY3 Exercise 3-1 and 4-1
Accessing and modifying Mule messages
• Describe the Mule message data structure.
• Use transformers to set message payloads- message properties- and
flow variables.
• Write MEL expressions to access and modify message payloads-
message properties- and flow variables.
• Enrich Mule messages using the Message Enricher.
• DEV: FUN3 Module 6
• DEV: DIY3 Exercise 6-1
Structuring Mule applications
• Parameterize an application using property placeholders.
• Define and reuse global configurations in an application.
• Break an application into multiple flows using private flows- subflows-
and the Flow Reference component.
• Specify what data (payload- message properties- flow variables) is
persisted between flows when a Flow Reference is used.
• Specify what data (payload- message properties- flow variables) is
persisted between flows when a Mule message crosses a transport
boundary.
• Specify what data (payload- message properties- flow variables)
exists in a flow before and after a call in the middle of a flow to an
external resource.
• DEV: FUN3 Module 7
• DEV: DIY3 Exercise 7-1 and 7-2
Building API implementation interfaces
• Manually create a RESTful interface for a Mule application.
• Describe the features and benefits of APIkit.
• Use APIkit to create implementation flows from a RAML file.
• Describe how requests are routed through flows generated by APIkit.
• DEV: FUN3 Module 4
• DEV: DIY3 Exercise 4-1
Routing messages
• Use the Choice router to route messages based on conditional logic.
• Use the Scatter-Gather router to multicast messages.
• Use Filters to filter Mule messages.
• Validate data using the Validation module.
• DEV: FUN3 Module 10
• DEV: DIY3 Exercise 10-1 and 10-2
Handling errors
• Describe the default exception strategy in a Mule application.
• Define a custom global default exception strategy for an application
and identify in what situations it will be used.
• Define exception strategies for flows.
• Combine multiple catch exception strategies in a choice exception
strategy.
• DEV: FUN3 Module 9
• DEV: DIY3 Exercise 9-1 and 9-2
Transforming data with DataWeave
• Write DataWeave scripts to convert JSON- XML- and Java data
structures to different data structures and data types.
• Use DataWeave operators.
• Define and use custom data types.
• Apply correct DataWeave syntax to coerce data types.
• Apply correct DataWeave syntax to format strings- numbers- and
dates.
• Call Mule flows from a DataWeave script.
• Call global MEL functions from a DataWeave script.
• DEV: FUN3 Module 11
• DEV: DIY3 Exercise 11-1
Using Connectors
• Retrieve data from a Database using the Database connector.
• Retrieve data from a REST service using HTTP Request.
• Use a Web Service Consumer connector to consume SOAP web
services.
• Use the Transform Message component to pass arguments to a
SOAP web service.
• List- read- and write local files using the File connector.
• List- read- and write remote files using the FTP connector.
• Use the JMS connector to publish and listen for JMS messages.
• DEV: FUN3 Module 4
• DEV: FUN3 Module 8
• DEV: FUN3 Module 12
• DEV: DIY3 Exercise 4-1- 8-1- 12-1- and 12-2
Processing records
• List and compare and contrast the methods for processing individual
records in a collection.
• Explain how Mule messages are processed by the Foreach scope .
• Use the Foreach scope to process records.
• Explain how Mule messages are processed in a Batch job.
• Use a Batch element with Batch Steps- Batch Filters- and a Batch
Commit to process records.
• Use the Poll component to trigger a flow.
• Describe the features- benefits- and process to use watermarking.
• Configure watermarks in the Poll scope.
• Persist data between flow executions using the Object Store.
• DEV: FUN3 Module 12
• DEV: FUN3 Module 13
• DEV: DIY3 Exercise 13-1
Debugging and troubleshooting Mule applications
• Use breakpoints to inspect a Mule message during runtime.
• Install missing dependencies and drivers to a Mule project.
• Read and decipher Mule log error messages.
• DEV: FUN3 Module 6
• DEV: FUN3 all WTs
• DEV: DIY3 Exercise 6-1
• DEV: DIY3 all exercises
Deploying and managing APIs and integrations
• Package Mule applications for deployment.
• Deploy applications to CloudHub.
• Use CloudHub properties to ensure deployment success.
• Create and deploy API proxies.
• Connect an API implementation to API Manager using
autodiscovery.
• Use policies- including client ID enforcement- to secure an API.
• Create SLA tiers and apply SLA based policies

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Mulesoft
MCIA-Level-1
MuleSoft Certified Integration Architect - Level 1
https://killexams.com/pass4sure/exam-detail/MCIA-Level-1
Question: 52
Refer to the exhibit. A shopping cart checkout process consists of a web store backend sending a sequence of API invocations to an Experience API,
which in turn invokes a Process API. All API invocations are over HTTPS POST. The Java web store backend executes in a Java EE application server,
while all API implementations are Mule applications executing in a customer-hosted Mule runtime.
End-to-end correlation of all HTTP requests and responses belonging to each individual checkout instance is required. This is to be done through a
common correlation ID, so that all log entries written by the web store backend, Experience API implementation, and Process API implementation
include the same correlation ID for all requests and responses belonging to the same checkout instance.
What is the most efficient way (using the least amount of custom coding or configuration) for the web store backend and the implementations of the
Experience API and Process API to participate in end-to-end correlation of the API invocations for each checkout instance?
A. The Experience API implementation generates a correlation ID for each incoming HTTP request and passes it to the web store backend in
the HTTP response, which includes it in all subsequent API invocations to the Experience APIThe Experience API implementation must be
coded to also propagate the correlation ID to the Process API in a suitable HTTP request header
B. The web store backend generates a new correlation ID value at the start of checkout and sets it on the X-CORRELATION-ID HTTP request
header in each API invocation belonging to that checkout
No special code or configuration is included in the Experience API and Process API implementations to generate and manage the correlation ID
C. The web store backend, being a Java EE application, automatically makes use of the thread-local correlation ID generated by the Java EE
application server and automatically transmits that to the Experience API using HTTP-standardheaders
No special code or configuration is included in the web store backend, Experience API, and Process API implementations to generate and manage the
correlation ID
D. The web store backend sends a correlation ID value in the HTTP request body in the way required by the Experience API
The Experience API and Process API implementations must be coded to receive the custom correlation ID in the HTTP requests and propagate it in
suitable HTTP request headers
Answer: B
Question: 53
A Mule application is being designed to do the following:
Step 1: Read a SalesOrder message from a JMS queue, where each SalesOrder consists of a header and a list of SalesOrderLineltems.
Step 2: Insert the SalesOrder header and each SalesOrderLineItem into different tables in an RDBMS.
Step 3: Insert the SalesOrder header and the sum of the prices of all its SalesOrderLineltems into a table in a different RDBMS.
No SalesOrder message can be lost and the consistency of all SalesOrder-related information in both RDBMSs must be ensured at all times.
What design choice (including choice of transactions) and order of steps addresses these requirements?
A. 1. Read the JMS message (NOT in an XA transaction)
2. Perform EACH DB insert in a SEPARATE DB transaction
3. Acknowledge the JMS message
B. 1. Read and acknowledge the JMS message (NOT in an XA transaction)
2. In a NEW XA transaction, perform BOTH DB inserts
C. 1. Read the JMS message in an XA transaction
2. In the SAME XA transaction, perform BOTH DB inserts but do NOT acknowledge the JMS message
D. 1. Read the JMS message (NOT in an XA transaction)
2. Perform BOTH DB inserts in ONE DB transaction
3. Acknowledge the JMS message
Answer: C
Question: 54
Refer to the exhibit. A Mule application is being designed to be deployed to several CloudHub workers. The Mule application�s integration logic is to
replicate changed Accounts from Salesforce to a backend system every 5 minutes.
A watermark will be used to only retrieve those Salesforce Accounts that have been modified since the last time the integration logic ran.
What is the most appropriate way to implement persistence for the watermark in order to support the required data replication integration logic?
A. Persistent Object Store
B. Persistent Cache Scope
C. Persistent Anypoint MQ Queue
D. Persistent VM Queue
Answer: A
Question: 55
An organization is designing an integration solution to replicate financial transaction data from a legacy system into a data warehouse (DWH).
The DWH must contain a daily snapshot of financial transactions, to be delivered as a CSV file. Daily transaction volume exceeds tens of millions of
records, with significant spikes in volume during popular shopping periods.
What is the most appropriate integration style for an integration solution that meets the organization�s current requirements?
A. API-led connectivity
B. Batch-triggered ETL
C. Event-driven architecture
D. Microservice architecture
Answer: D
Question: 56
A set of integration Mule applications, some of which expose APIs, are being created to enable a new business process. Various stakeholders may be
impacted by this. These stakeholders are a combination of semi-technical users (who understand basic integration terminology and concepts such as
JSON and XML) and technically skilled potential consumers of the Mule applications and APIs.
What is an effective way for the project team responsible for the Mule applications and APIs being built to communicate with these stakeholders using
Anypoint Platform and its supplied toolset?
A. Create Anypoint Exchange entries with pages elaborating the integration design, including API notebooks (where applicable) to help the
stakeholders understand and interact with the Mule applications and APIs at various levels oftechnical depth
B. Capture documentation about the Mule applications and APIs inline within the Mule integration flows and use Anypoint Studio�s Export
Documentation feature to provide an HTML version of this documentation to the stakeholders
C. Use Anypoint Design Center to implement the Mule applications and APIs and deliver the various stakeholders access to these Design Center
projects, so they can collaborate and provide feedback
D. Use Anypoint Exchange to register the various Mule applications and APIs and share the RAML definitions with the stakeholders, so they
can be discovered
Answer: D
Question: 57
Anypoint Exchange is required to maintain the source code of some of the assets committed to it, such as Connectors, Templates, and API
specifications.
What is the best way to use an organization�s source-code management (SCM) system in this context?
A. Organizations need to point Anypoint Exchange to their SCM system so Anypoint Exchange can pull source code when requested by
developers and provide it to Anypoint Studio
B. Organizations need to use Anypoint Exchange as the main SCM system to centralize versioning and avoid code duplication
C. Organizations can continue to use an SCM system of their choice for branching and merging, as long as they follow the branching and
merging strategy enforced by Anypoint Exchange
D. Organizations should continue to use an SCM system of their choice, in addition to keeping source code for these asset types in Anypoint
Exchange, thereby enabling parallel development, branching, and merging
Answer: B
Question: 58
A global organization operates datacenters in many countries. There are private network links between these datacenters because all business data (but
NOT metadata) must be exchanged over these private network connections.
The organization does not currently use AWS in any way.
The strategic decision has just been made to rigorously minimize IT operations effort and investment going forward.
What combination of deployment options of the Anypoint Platform control plane and runtime plane(s) best serves this organization at the start of this
strategic journey?
A. MuleSoft-hosted Anypoint Platform control planeCloudHub Shared Worker Cloud in multiple AWS regions
B. MuleSoft-hosted Anypoint Platform control plane
Customer-hosted runtime plane in multiple AWS regions
C. MuleSoft-hosted Anypoint Platform control planeCustomer-hosted runtime plane in each datacenter
D. Anypoint Platform � Private Cloud Edition
Customer-hosted runtime plane in each datacenter
Answer: B
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