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Formal MCPA-Level-1 Test, MCPA-Level-1 Exam PDF

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The MCPA-Level-1 Certification Exam is a valuable credential for architects and developers who want to demonstrate their expertise in designing and building integration solutions using MuleSoft's Anypoint Platform. MCPA-Level-1 exam covers various topics related to integration and requires practical experience in designing and building integration solutions. Candidates can prepare for the exam by taking advantage of various resources available online, including study guides, practice tests, and training courses. Passing the exam provides a solid foundation for professionals seeking to advance their careers in the integration field.

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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q43-Q48):

NEW QUESTION # 43
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 effectively restrict access to a specific group of internal users?

A. Apply an IP whitelist policy; only the specific users' workstations will be in the whitelist.
B. Apply a basic authentication - LDAP policy; the internal Active Directory will be configured as the LDAP source for authenticating users.
C. Apply an OAuth 2.0 access token enforcement policy; the internal Active Directory will be configured as the OAuth server.
D. Apply a client ID enforcement policy; the specific group of users will configure their client applications to use their specific client credentials.

Answer: B

NEW QUESTION # 44
What is a typical result of using a fine-grained rather than a coarse-grained API deployment model to implement a given business process?

A. A higher number of discoverable API-related assets in the application network
B. A better response time for the end user as a result of the APIs being smaller in scope and complexity
C. An overall tower usage of resources because each fine-grained API consumes less resources
D. A decrease in the number of connections within the application network supporting the business process

Answer: A

Explanation:
A higher number of discoverable API-related assets in the application network.
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>> We do NOT get faster response times in fine-grained approach when compared to coarse-grained approach.
>> In fact, we get faster response times from a network having coarse-grained APIs compared to a network having fine-grained APIs model. The reasons are below.
Fine-grained approach:
1. will have more APIs compared to coarse-grained
2. So, more orchestration needs to be done to achieve a functionality in business process.
3. Which means, lots of API calls to be made. So, more connections will needs to be established. So, obviously more hops, more network i/o, more number of integration points compared to coarse-grained approach where fewer APIs with bulk functionality embedded in them.
4. That is why, because of all these extra hops and added latencies, fine-grained approach will have bit more response times compared to coarse-grained.
5. Not only added latencies and connections, there will be more resources used up in fine-grained approach due to more number of APIs.
That's why, fine-grained APIs are good in a way to expose more number of resuable assets in your network and make them discoverable. However, needs more maintenance, taking care of integration points, connections, resources with a little compromise w.r.t network hops and response times.

NEW QUESTION # 45
A company requires Mule applications deployed to CloudHub to be isolated between non-production and production environments. This is so Mule applications deployed to non-production environments can only access backend systems running in their customer-hosted non-production environment, and so Mule applications deployed to production environments can only access backend systems running in their customer-hosted production environment. How does MuleSoft recommend modifying Mule applications, configuring environments, or changing infrastructure to support this type of per-environment isolation between Mule applications and backend systems?

A. Configure firewall rules in the infrastructure inside each customer-hosted environment so that only IP addresses from the corresponding Anypoint Platform environments are allowed to communicate with corresponding backend systems
B. Modify properties of Mule applications deployed to the production Anypoint Platform environments to prevent access from non-production Mule applications
C. Create separate Anypoint VPCs for non-production and production environments, then configure connections to the backend systems in the corresponding customer-hosted environments
D. Create non-production and production environments in different Anypoint Platform business groups

Answer: C

Explanation:
Correct answer: Create separate Anypoint VPCs for non-production and production environments, then configure connections to the backend systems in the corresponding customer-hosted environments.
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>> Creating different Business Groups does NOT make any difference w.r.t accessing the non-prod and prod customer-hosted environments. Still they will be accessing from both Business Groups unless process network restrictions are put in place.
>> We need to modify or couple the Mule Application Implementations with the environment. In fact, we should never implements application coupled with environments by binding them in the properties. Only basic things like endpoint URL etc should be bundled in properties but not environment level access restrictions.
>> IP addresses on CloudHub are dynamic until unless a special static addresses are assigned. So it is not possible to setup firewall rules in customer-hosted infrastrcture. More over, even if static IP addresses are assigned, there could be 100s of applications running on cloudhub and setting up rules for all of them would be a hectic task, non-maintainable and definitely got a good practice.
>> The best practice recommended by Mulesoft (In fact any cloud provider), is to have your Anypoint VPCs seperated for Prod and Non-Prod and perform the VPC peering or VPN tunneling for these Anypoint VPCs to respective Prod and Non-Prod customer-hosted environment networks.
Reference:

NEW QUESTION # 46
A Mule application exposes an HTTPS endpoint and is deployed to the CloudHub Shared Worker Cloud. All traffic to that Mule application must stay inside the AWS VPC.
To what TCP port do API invocations to that Mule application need to be sent?

A. 0
B. 1
C. 2
D. 3

Answer: D

Explanation:
*****************************************
>> 8091 and 8092 ports are to be used when keeping your HTTP and HTTPS app private to the LOCAL VPC respectively.
>> Above TWO ports are not for Shared AWS VPC/ Shared Worker Cloud.
>> 8081 is to be used when exposing your HTTP endpoint app to the internet through Shared LB
>> 8082 is to be used when exposing your HTTPS endpoint app to the internet through Shared LB So, API invocations should be sent to port 8082 when calling this HTTPS based app.
References:
https://docs.mulesoft.com/runtime-manager/cloudhub-networking-guide
https://help.mulesoft.com/s/article/Configure-Cloudhub-Application-to-Send-a-HTTPS-Request-Directly-to- Another-Cloudhub-Application
https://help.mulesoft.com/s/question/0D52T00004mXXULSA4/multiple-http-listerners-on-cloudhub-one- with-port-9090

NEW QUESTION # 47
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. Measurements of the effectiveness of the application network based on the level of reuse
C. Proactive identification of likely future policy violations that exceed a given threat threshold
D. ROI metrics from APIs that can be directly shared with business users

Answer: A

Explanation:
Data on past API invocations to help identify anomalies and usage patterns across various APIs
*****************************************
API Invocation metrics provided by Anypoint Platform:
>> Does NOT provide any Return Of Investment (ROI) related information. So the option suggesting it is OUT.
>> Does NOT provide any information w.r.t how APIs are reused, whether there is effective usage of APIs or not etc...
>> Does NOT prodive any prediction information as such to help us proactively identify any future policy violations.
So, the kind of data/information we can get from such metrics is on past API invocations to help identify anomalies and usage patterns across various APIs.

NEW QUESTION # 48
......

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