EXAM SALESFORCE MULESOFT-PLATFORM-ARCHITECT-I EXPERIENCE, MULESOFT-PLATFORM-ARCHITECT-I ACCURATE STUDY MATERIAL

Exam Salesforce MuleSoft-Platform-Architect-I Experience, MuleSoft-Platform-Architect-I Accurate Study Material

Exam Salesforce MuleSoft-Platform-Architect-I Experience, MuleSoft-Platform-Architect-I Accurate Study Material

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Salesforce Certified MuleSoft Platform Architect I Sample Questions (Q43-Q48):

NEW QUESTION # 43
To minimize operation costs, a customer wants to use a CloudHub 1.0 solution. The customer's requirements are:
* Separate resources with two Business groups
* High-availability (HA) for all APIs
* Route traffic via Dedicated load balancer (DLBs)
* Separate environments into production and non-production
Which solution meets the customer's needs?

  • A. One production and one non-production Virtual Private Cloud (VPC) per Business group.
    Minimize CIDR aligning with projected application total.
    Choose a MuleSoft CloudHub 1.0 region with multiple availability zones.
    Deploy multiple workers for HA,
  • B. One production and one non-production Virtual Private Claud (VPC).
    Configure subnet to differentiate between business groups.
    Allocate maximum CIDR per VPCs to make it easier to add Child groups.
    Span VPC to cover three availability zones.
  • C. One production and one non-production Virtual Private Cloud (VPC) per Business group.
    Minimize CIDR aligning with projected application total.
    Divide availability zones during deployment of APIs for HA.
  • D. One production and one non-production Virtual Private Cloud (VPC).
    Use availability zones to differentiate between Business groups.
    Allocate maximum CIDR per VPCs to ensure HA across availability zones

Answer: A

Explanation:
Understanding the Requirements:
Business Groups: The solution must support two business groups, which typically require separate VPCs for logical separation.
High Availability (HA): Requires deploying resources across multiple availability zones.
Dedicated Load Balancer (DLB): Traffic should be routed via DLBs, which operate within VPCs on CloudHub.
Separate Environments: There needs to be separation between production and non-production environments.
Evaluating the Options:
Option A: Using a single production and non-production VPC and differentiating business groups via availability zones is not ideal as it does not provide full separation for each business group, and using maximum CIDR allocation is wasteful.
Option B (Correct Answer): Creating separate production and non-production VPCs per business group with minimized CIDR blocks, multiple availability zones, and multiple workers per application for HA meets all requirements effectively.
Option C: While this option separates VPCs per business group, it does not fully address the requirement for HA across availability zones by specifying multi-zone deployment only during API deployment, which may not guarantee redundancy.
Option D: Configuring subnets to differentiate business groups within a single production and non-production VPC does not fully separate the business groups, which is a requirement.
Conclusion:
Option B is the best choice as it meets the requirements for high availability, business group separation, and cost efficiency by using minimized CIDR allocations and deploying multiple workers across availability zones.
For further reference, refer to MuleSoft's documentation on VPC configuration and high availability deployment strategies.


NEW QUESTION # 44
What API policy would LEAST likely be applied to a Process API?

  • A. JSON threat protection
  • B. Custom circuit breaker
  • C. Rate limiting
  • D. Client ID enforcement

Answer: A

Explanation:
Correct Answer : JSON threat protection
*****************************************
Fact: Technically, there are no restrictions on what policy can be applied in what layer. Any policy can be applied on any layer API. However, context should also be considered properly before blindly applying the policies on APIs.
That is why, this question asked for a policy that would LEAST likely be applied to a Process API.
From the given options:
>> All policies except "JSON threat protection" can be applied without hesitation to the APIs in Process tier.
>> JSON threat protection policy ideally fits for experience APIs to prevent suspicious JSON payload coming from external API clients. This covers more of a security aspect by trying to avoid possibly malicious and harmful JSON payloads from external clients calling experience APIs.
As external API clients are NEVER allowed to call Process APIs directly and also these kind of malicious and harmful JSON payloads are always stopped at experience API layer only using this policy, it is LEAST LIKELY that this same policy is again applied on Process Layer API.


NEW QUESTION # 45
A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity.
The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms.
If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API's desired SLA?

  • A. Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete
  • B. No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API
  • C. Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries
  • D. Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds

Answer: A

Explanation:
Correct Answer : Set a timeout of 100ms; that leaves 400ms for other two downstream APIs to complete
*****************************************
Key details to take from the given scenario:
>> Upstream API's designed SLA is 500ms (median). Lets ignore maximum SLA response times.
>> This API calls 3 downstream APIs sequentially and all these are of similar complexity.
>> The first downstream API is offering median SLA of 100ms, 80th percentile: 500ms; 95th percentile: 1000ms.
Based on the above details:
>> We can rule out the option which is suggesting to set 50ms timeout. Because, if the median SLA itself being offered is 100ms then most of the calls are going to timeout and time gets wasted in retried them and eventually gets exhausted with all retries. Even if some retries gets successful, the remaining time wont leave enough room for 2nd and 3rd downstream APIs to respond within time.
>> The option suggesting to NOT set a timeout as the invocation of this API is mandatory and so we must wait until it responds is silly. As not setting time out would go against the good implementation pattern and moreover if the first API is not responding within its offered median SLA 100ms then most probably it would either respond in 500ms (80th percentile) or 1000ms (95th percentile). In BOTH cases, getting a successful response from 1st downstream API does NO GOOD because already by this time the Upstream API SLA of 500 ms is breached. There is no time left to call 2nd and 3rd downstream APIs.
>> It is NOT true that no timeout is possible to meet the upstream APIs desired SLA.
As 1st downstream API is offering its median SLA of 100ms, it means MOST of the time we would get the responses within that time. So, setting a timeout of 100ms would be ideal for MOST calls as it leaves enough room of 400ms for remaining 2 downstream API calls.


NEW QUESTION # 46
A code-centric API documentation environment should allow API consumers to investigate and execute API client source code that demonstrates invoking one or more APIs as part of representative scenarios.
What is the most effective way to provide this type of code-centric API documentation environment using Anypoint Platform?

  • A. Make relevant APIs discoverable via an Anypoint Exchange entry
  • B. Create API Notebooks and include them in the relevant Anypoint Exchange entries
  • C. Ensure the APIs are well documented through their Anypoint Exchange entries and API Consoles and share these pages with all API consumers
  • D. Enable mocking services for each of the relevant APIs and expose them via their Anypoint Exchange entry

Answer: B

Explanation:
Correct Answer : Create API Notebooks and Include them in the relevant Anypoint exchange entries
*****************************************
>> API Notebooks are the one on Anypoint Platform that enable us to provide code-centric API documentation Reference:

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NEW QUESTION # 47
A company uses a hybrid Anypoint Platform deployment model that combines the EU control plane with customer-hosted Mule runtimes. After successfully testing a Mule API implementation in the Staging environment, the Mule API implementation is set with environment-specific properties and must be promoted to the Production environment. What is a way that MuleSoft recommends to configure the Mule API implementation and automate its promotion to the Production environment?

  • A. Modify the Mule API implementation's properties in Anypoint Exchange, then promote the Mule API implementation to the Production environment using Runtime Manager
  • B. Bundle properties files for each environment into the Mule API implementation's deployable archive, then promote the Mule API implementation to the Production environment using Anypoint CLI or the Anypoint Platform REST APIsB.
  • C. Use an API policy to change properties in the Mule API implementation deployed to the Staging environment and another API policy to deploy the Mule API implementation to the Production environment
  • D. Modify the Mule API implementation's properties in the API Manager Properties tab, then promote the Mule API implementation to the Production environment using API Manager

Answer: B


NEW QUESTION # 48
......

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