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PDF Exam Material 2024 Realistic MCPA-Level-1 Dumps Questions
NEW QUESTION # 51
What is true about where an API policy is defined in Anypoint Platform and how it is then applied to API instances?
- A. The API policy Is defined In Runtime Manager as part of the API deployment to a Mule runtime, and then ONLY applied to the specific API Instance
- B. The API policy Is defined in API Manager and then automatically applied to ALL API instances
- C. The API policy Is defined In API Manager for a specific API Instance, and then ONLY applied to the specific API instance
- D. The API policy is defined in API Manager, and then applied to ALL API instances in the specified environment
Answer: C
NEW QUESTION # 52
What is true about the technology architecture of Anypoint VPCs?
- A. Each CloudHub environment requires a separate Anypoint VPC
- B. The private IP address range of an Anypoint VPC is automatically chosen by CloudHub
- C. VPC peering can be used to link the underlying AWS VPC to an on-premises (non AWS) private network
- D. Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network
Answer: D
Explanation:
Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network
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>> The private IP address range of an Anypoint VPC is NOT automatically chosen by CloudHub. It is chosen by us at the time of creating VPC using thr CIDR blocks.
CIDR Block: The size of the Anypoint VPC in Classless Inter-Domain Routing (CIDR) notation.
For example, if you set it to 10.111.0.0/24, the Anypoint VPC is granted 256 IP addresses from 10.111.0.0 to
10.111.0.255.
Ideally, the CIDR Blocks you choose for the Anypoint VPC come from a private IP space, and should not overlap with any other Anypoint VPC's CIDR Blocks, or any CIDR Blocks in use in your corporate network.
that each CloudHub environment requires a separate Anypoint VPC. Once an Anypoint VPC is created, we can choose a same VPC by multiple environments. However, it is generally a best and recommended practice to always have seperate Anypoint VPCs for Non-Prod and Prod environments.
>> We use Anypoint VPN to link the underlying AWS VPC to an on-premises (non AWS) private network.
NOT VPC Peering.
NEW QUESTION # 53
A retail company with thousands of stores has an API to receive data about purchases and insert it into a single database. Each individual store sends a batch of purchase data to the API about every 30 minutes. The API implementation uses a database bulk insert command to submit all the purchase data to a database using a custom JDBC driver provided by a data analytics solution provider. The API implementation is deployed to a single CloudHub worker. The JDBC driver processes the data into a set of several temporary disk files on the CloudHub worker, and then the data is sent to an analytics engine using a proprietary protocol. This process usually takes less than a few minutes. Sometimes a request fails. In this case, the logs show a message from the JDBC driver indicating an out-of-file-space message. When the request is resubmitted, it is successful.
What is the best way to try to resolve this throughput issue?
- A. Increase the size of the CloudHub worker(s)
- B. se a CloudHub autoscaling policy to add CloudHub workers
- C. Increase the number of CloudHub workers
- D. Use a CloudHub autoscaling policy to increase the size of the CloudHub worker
Answer: C
Explanation:
Increase the size of the CloudHub worker(s)
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The key details that we can take out from the given scenario are:
>> API implementation uses a database bulk insert command to submit all the purchase data to a database
>> JDBC driver processes the data into a set of several temporary disk files on the CloudHub worker
>> Sometimes a request fails and the logs show a message indicating an out-of-file-space message Based on above details:
>> Both auto-scaling options does NOT help because we cannot set auto-scaling rules based on error messages. Auto-scaling rules are kicked-off based on CPU/Memory usages and not due to some given error or disk space issues.
>> Increasing the number of CloudHub workers also does NOT help here because the reason for the failure is not due to performance aspects w.r.t CPU or Memory. It is due to disk-space.
>> Moreover, the API is doing bulk insert to submit the received batch data. Which means, all data is handled by ONE worker only at a time. So, the disk space issue should be tackled on "per worker" basis. Having multiple workers does not help as the batch may still fail on any worker when disk is out of space on that particular worker.
Therefore, the right way to deal this issue and resolve this is to increase the vCore size of the worker so that a new worker with more disk space will be provisioned.
NEW QUESTION # 54
An organization is implementing a Quote of the Day API that caches today's quote.
What scenario can use the CloudHub Object Store via the Object Store connector to persist the cache's state?
- A. When there is one deployment of the API implementation to CloudHub and another deployment to a customer-hosted Mule runtime that must share the cache state.
- B. When there are three CloudHub deployments of the API implementation to three separate CloudHub regions that must share the cache state.
- C. When there are two CloudHub deployments of the API implementation by two Anypoint Platform business groups to the same CloudHub region that must share the cache state.
- D. When there is one CloudHub deployment of the API implementation to three CloudHub workers that must share the cache state.
Answer: A
NEW QUESTION # 55
Refer to the exhibit. An organization is running a Mule standalone runtime and has configured Active Directory as the Anypoint Platform external Identity Provider. The organization does not have budget for other system components.
What policy should be applied to all instances of APIs in the organization to most effecuvelyKestrict access to a specific group of internal users?
- A. Apply a client ID enforcement policy; the specific group of users will configure their client applications to use their specific client credentials
- B. Apply a basic authentication - LDAP policy; the internal Active Directory will be configured as the LDAP source for authenticating users
- C. Apply an IP whitelist policy; only the specific users' workstations will be in the whitelist
- D. Apply an OAuth 2.0 access token enforcement policy; the internal Active Directory will be configured as the OAuth server
Answer: A
NEW QUESTION # 56
What API policy would LEAST likely be applied to a Process API?
- A. Custom circuit breaker
- B. Rate limiting
- C. Client ID enforcement
- D. JSON threat protection
Answer: A
NEW QUESTION # 57
What Mule application can have API policies applied by Anypoint Platform to the endpoint exposed by that Mule application?
A) A Mule application that accepts requests over HTTP/1.x
B) A Mule application that accepts JSON requests over TCP but is NOT required to provide a response
C) A Mute application that accepts JSON requests over WebSocket
D) A Mule application that accepts gRPC requests over HTTP/2
- A. Option C
- B. Option D
- C. Option A
- D. Option B
Answer: C
NEW QUESTION # 58
An API implementation is deployed to CloudHub.
What conditions can be alerted on using the default Anypoint Platform functionality, where the alert conditions depend on the end-to-end request processing of the API implementation?
- A. When the API is invoked by an unrecognized API client
- B. When the API receives a very high number of API invocations
- C. When a particular API client invokes the API too often within a given time period
- D. When the response time of API invocations exceeds a threshold
Answer: D
Explanation:
When the response time of API invocations exceeds a threshold
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>> Alerts can be setup for all the given options using the default Anypoint Platform functionality
>> However, the question insists on an alert whose conditions depend on the end-to-end request processing of the API implementation.
>> Alert w.r.t "Response Times" is the only one which requires end-to-end request processing of API implementation in order to determine if the threshold is exceeded or not.
NEW QUESTION # 59
What is a best practice when building System APIs?
- A. Model all API resources and methods to closely mimic the operations of the backend system
- B. Document the API using an easily consumable asset like a RAML definition
- C. Expose to API clients all technical details of the API implementation's interaction wifch the backend system
- D. Build an Enterprise Data Model (Canonical Data Model) for each backend system and apply it to System APIs
Answer: B
NEW QUESTION # 60
An organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft).
What best describes each modern API in relation to this new IT operating model?
- A. Each modern API must be REST and HTTP based
- B. Each modem API must be treated like a product and designed for a particular target audience (for instance, mobile app developers)
- C. Each modern API must be easy to consume, so should avoid complex authentication mechanisms such as SAML or JWT D
- D. Each modern API has its own software development lifecycle, which reduces the need for documentation and automation
Answer: B
Explanation:
Correct Answers:
1. Each modern API must be treated like a product and designed for a particular target audience (for instance mobile app developers)
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NEW QUESTION # 61
What is typically NOT a function of the APIs created within the framework called API-led connectivity?
- A. They reduce the dependency on the underlying backend systems by helping unlock data from backend systems In a reusable and consumable way.
- B. They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
- C. They can compose data from various sources and combine them with orchestration logic to create higher level value.
- D. They allow for innovation at the user Interface level by consuming the underlying assets without being aware of how data Is being extracted from backend systems.
Answer: B
Explanation:
Correct answer: They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
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In API-led connectivity,
>> Experience APIs - allow for innovation at the user interface level by consuming the underlying assets without being aware of how data is being extracted from backend systems.
>> Process APIs - compose data from various sources and combine them with orchestration logic to create higher level value
>> System APIs - reduce the dependency on the underlying backend systems by helping unlock data from backend systems in a reusable and consumable way.
However, they NEVER promise that they provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
https://dzone.com/articles/api-led-connectivity-with-mule
NEW QUESTION # 62
Refer to the exhibit. An organization needs to enable access to their customer data from both a mobile app and a web application, which each need access to common fields as well as certain unique fields.
The data is available partially in a database and partially in a 3rd-party CRM system.
What APIs should be created to best fit these design requirements?
A) A Process API that contains the data required by both the web and mobile apps, allowing these applications to invoke it directly and access the data they need thereby providing the flexibility to add more fields in the future without needing API changes
B) One set of APIs (Experience API, Process API, and System API) for the web app, and another set for the mobile app
C) Separate Experience APIs for the mobile and web app, but a common Process API that invokes separate System APIs created for the database and CRM system
D) A common Experience API used by both the web and mobile apps, but separate Process APIs for the web and mobile apps that interact with the database and the CRM System
- A. Option A
- B. Option D
- C. Option C
- D. Option B
Answer: C
NEW QUESTION # 63
Refer to the exhibit.
An organization uses one specific CloudHub (AWS) region for all CloudHub deployments.
How are CloudHub workers assigned to availability zones (AZs) when the organization's Mule applications are deployed to CloudHub in that region?
- A. An AZ is randomly selected for a Mule application, and all the Mule application's CloudHub workers are assigned to that one AZ
- B. AZs are selected as part of the Mule application's deployment configuration
- C. Workers are randomly distributed across available AZs within that region
- D. Workers belonging to a given environment are assigned to the same AZ within that region
Answer: A
Explanation:
Workers are randomly distributed across available AZs within that region.
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>> Currently, we only have control to choose which AWS Region to choose but there is no control at all using any configurations or deployment options to decide what Availability Zone (AZ) to assign to what worker.
>> There are NO fixed or implicit rules on platform too w.r.t assignment of AZ to workers based on environment or application.
>> They are completely assigned in random. However, cloudhub definitely ensures that HA is achieved by assigning the workers to more than on AZ so that all workers are not assigned to same AZ for same application.
NEW QUESTION # 64
Refer to the exhibit.
An organization uses one specific CloudHub (AWS) region for all CloudHub deployments.
How are CloudHub workers assigned to availability zones (AZs) when the organization's Mule applications are deployed to CloudHub in that region?
- A. An AZ is randomly selected for a Mule application, and all the Mule application's CloudHub workers are assigned to that one AZ
- B. AZs are selected as part of the Mule application's deployment configuration
- C. Workers are randomly distributed across available AZs within that region
- D. Workers belonging to a given environment are assigned to the same AZ within that region
Answer: A
NEW QUESTION # 65
An API implementation is deployed on a single worker on CloudHub and invoked by external API clients (outside of CloudHub).
How can an alert be set up that is guaranteed to trigger AS SOON AS that API implementation stops responding to API invocations?
- A. Handle API invocation exceptions within the calling API client and raise an alert from that API client when the API is unavailable.
- B. Implement a heartbeat/health check within the API and invoke it from outside the Anypoint Platform and alert when the heartbeat does not respond.
- C. Create an alert for when the API receives no requests within a specified time period.
- D. Configure a "worker not responding" alert in Anypoint Runtime Manager.
Answer: C
NEW QUESTION # 66
What best explains the use of auto-discovery in API implementations?
- A. It makes API Manager aware of API implementations and hence enables it to enforce policies
- B. It enables Anypoint Exchange to discover assets and makes them available for reuse
- C. It enables Anypoint Studio to discover API definitions configured in Anypoint Platform
- D. It enables Anypoint Analytics to gain insight into the usage of APIs
Answer: C
NEW QUESTION # 67
A REST API is being designed to implement a Mule application.
What standard interface definition language can be used to define REST APIs?
- A. AsyncAPI Specification
- B. OpenAPI Specification (OAS)
- C. Web Service Definition Language(WSDL)
- D. YAML
Answer: B
NEW QUESTION # 68
What is true about API implementations when dealing with legal regulations that require all data processing to be performed within a certain jurisdiction (such as in the USA or the EU)?
- A. They must ensure ALL data is encrypted both in transit and at rest
- B. They must use a Jurisdiction-local external messaging system such as Active MQ rather than Anypoint MQ
- C. They must te deployed to Anypoint Platform runtime planes that are managed by Anypoint Platform control planes, with both planes in the same Jurisdiction
- D. They must avoid using the Object Store as it depends on services deployed ONLY to the US East region
Answer: C
Explanation:
They must be deployed to Anypoint Platform runtime planes that are managed by Anypoint Platform control planes, with both planes in the same Jurisdiction.
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>> As per legal regulations, all data processing to be performed within a certain jurisdiction. Meaning, the data in USA should reside within USA and should not go out. Same way, the data in EU should reside within EU and should not go out.
>> So, just encrypting the data in transit and at rest does not help to be compliant with the rules. We need to make sure that data does not go out too.
>> The data that we are talking here is not just about the messages that are published to Anypoint MQ. It includes the apps running, transaction states, application logs, events, metric info and any other metadata. So, just replacing Anypoint MQ with a locally hosted ActiveMQ does NOT help.
>> The data that we are talking here is not just about the key/value pairs that are stored in Object Store. It includes the messages published, apps running, transaction states, application logs, events, metric info and any other metadata. So, just avoiding using Object Store does NOT help.
>> The only option left and also the right option in the given choices is to deploy application on runtime and control planes that are both within the jurisdiction.
NEW QUESTION # 69
What best explains the use of auto-discovery in API implementations?
- A. It enables Anypoint Exchange to discover assets and makes them available for reuse
- B. It enables Anypoint Studio to discover API definitions configured in Anypoint Platform
- C. It enables Anypoint Analytics to gain insight into the usage of APIs
- D. It makes API Manager aware of API implementations and hence enables it to enforce policies
Answer: D
Explanation:
Correct answer: It makes API Manager aware of API implementations and hence enables it to enforce policies.
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>> API Autodiscovery is a mechanism that manages an API from API Manager by pairing the deployed application to an API created on the platform.
>> API Management includes tracking, enforcing policies if you apply any, and reporting API analytics.
>> Critical to the Autodiscovery process is identifying the API by providing the API name and version.
References:
https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept
https://docs.mulesoft.com/api-manager/1.x/api-auto-discovery
https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept
NEW QUESTION # 70
How are an API implementation, API client, and API consumer combined to invoke and process an API?
- A. The API consumer creates an API implementation, which receives API invocations from an API such that they are processed for an API client
- B. The ApI client creates an API consumer, which sends API invocations to an API such that they are processed by an API implementation
- C. The ApI consumer creates an API client, which sends API invocations to an API such that they are processed by an API implementation
- D. The API client creates an API consumer, which receives API invocations from an API such that they are processed for an API implementation
Answer: C
NEW QUESTION # 71
What do the API invocation metrics provided by Anypoint Platform provide?
- A. Data on past API invocations to help identify anomalies and usage patterns across various APIs
- B. Proactive identification of likely future policy violations that exceed a given threat threshold
- C. ROI metrics from APIs that can be directly shared with business users
- D. Measurements of the effectiveness of the application network based on the level of reuse
Answer: D
Explanation:
Explanation/Reference: https://usermanual.wiki/Document/APAAppNetstudentManual02may2018.991784750.pdf
NEW QUESTION # 72
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MuleSoft MCPA-Level-1 (MuleSoft Certified Platform Architect - Level 1) Certification Exam is a globally recognized certification that validates the knowledge and skills of an individual in designing and building integration solutions using the MuleSoft Anypoint Platform. MuleSoft Certified Platform Architect - Level 1 certification is designed for architects who have experience in developing integration solutions using MuleSoft and want to demonstrate their expertise in the field. MuleSoft Certified Platform Architect - Level 1 certification exam tests the skills of the candidate in various areas such as API design, data transformation, and system integration.
MuleSoft MCPA-Level-1 (MuleSoft Certified Platform Architect - Level 1) Certification Exam is a globally recognized certification that validates an individual's expertise in designing, building, and managing MuleSoft APIs and integrations. MuleSoft Certified Platform Architect - Level 1 certification is designed for architects and developers who want to demonstrate their skills in the MuleSoft Anypoint Platform.
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