Mule-Arch-201 aktueller Test, Test VCE-Dumps für Salesforce Certified MuleSoft Platform Architect

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Salesforce Mule-Arch-201 Exam Syllabus Topics:

Section	Objectives
Topic 1: Performance and Scalability	- High availability design patterns - Scaling Mule applications
Topic 2: Data Integration and Transformation	- Batch vs real-time integration patterns - Data mapping and transformation strategies
Topic 3: Integration Architecture Strategy	- System, process, and experience APIs - Designing enterprise integration architecture - API-led connectivity principles
Topic 4: Security and Compliance	- Authentication and authorization mechanisms - Secure API exposure and threat protection
Topic 5: API Management and Governance	- API security policies and enforcement - API lifecycle management - Governance frameworks and best practices
Topic 6: Anypoint Platform Architecture	- Anypoint Platform components and capabilities - Deployment models (CloudHub, hybrid, on-premises) - Runtime Fabric architecture overview

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Salesforce Certified MuleSoft Platform Architect Mule-Arch-201 Prüfungsfragen mit Lösungen (Q77-Q82):

77. Frage
A customer has an ELA contract with MuleSoft. An API deployed to CloudHub is consistently experiencing performance issues. Based on the root cause analysis, it is determined that autoscaling needs to be applied.
How can this be achieved?

A. Configure a policy so that when the number of HTTP requests reaches a certain threshold the number of workers/replicas increases (horizontal scaling)
B. Configure two separate policies: When CPU and memory reach certain threshold, increase the worker/replica type (vertical sealing) and the number of workers/replicas (horizontal sealing)
C. Configure a policy so that when the response time reaches a certain threshold the worker/replica type increases (vertical scaling)
D. Configure a policy based on CPU usage so that CloudHub auto-adjusts the number of workers/replicas (horizontal scaling)

Antwort: D

Begründung:
In MuleSoft CloudHub, autoscaling is essential to managing application load efficiently. CloudHub supports horizontal scaling based on CPU usage, which is well-suited to applications experiencing variable demand and needing responsive resource allocation.
Autoscaling on CloudHub:
Horizontal scaling increases the number of workers in response to CPU usage thresholds, allowing the application to handle higher loads dynamically. This approach improves performance without downtime or manual intervention.
Why Option C is Correct:
Setting up autoscaling based on CPU usage aligns with MuleSoft's best practices for scalable and responsive applications on CloudHub, particularly in an environment with fluctuating load patterns.
Option C correctly leverages CloudHub's autoscaling features based on resource metrics, which are part of CloudHub's managed scaling solutions.
of Incorrect Options:
Option A (based on HTTP request thresholds) and Option B (separate policies for CPU and memory) do not represent CloudHub's recommended scaling practices.
Option D suggests vertical scaling based on response time, which is not how CloudHub handles autoscaling.
Reference
For more on CloudHub's autoscaling configuration, refer to MuleSoft documentation on CloudHub autoscaling policies.

78. Frage
What is true about the technology architecture of Anypoint VPCs?

A. Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network
B. VPC peering can be used to link the underlying AWS VPC to an on-premises (non AWS) private network
C. The private IP address range of an Anypoint VPC is automatically chosen by CloudHub
D. Each CloudHub environment requires a separate Anypoint VPC

Antwort: A

Begründung:
Correct Answe r: Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network
*****************************************
>> 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.
Reference:
Only true statement in the given choices is that the traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network.
https://docs.mulesoft.com/runtime-manager/vpc-connectivity-methods-concept

79. Frage
When designing an upstream API and its implementation, the development team has been advised to NOT set timeouts when invoking a downstream API, because that downstream API has no SLA that can be relied upon. This is the only downstream API dependency of that upstream API.
Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?

A. The invocation of the downstream API will run to completion without timing out
B. A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes
C. An SLA for the upstream API CANNOT be provided
D. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes

Antwort: C

Begründung:
Correct Answe r: An SLA for the upstream API CANNOT be provided.
*****************************************
>> First thing first, the default HTTP response timeout for HTTP connector is 10000 ms (10 seconds). NOT 500 ms.
>> Mule runtime does NOT apply any such "load-dependent" timeouts. There is no such behavior currently in Mule.
>> As there is default 10000 ms time out for HTTP connector, we CANNOT always guarantee that the invocation of the downstream API will run to completion without timing out due to its unreliable SLA times. If the response time crosses 10 seconds then the request may time out.
The main impact due to this is that a proper SLA for the upstream API CANNOT be provided.

80. Frage
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. 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
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. 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
D. Modify the Mule API implementation's properties in Anypoint Exchange, then promote the Mule API implementation to the Production environment using Runtime Manager

Antwort: B

Begründung:
Correct Answe r: 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 APIs
*****************************************
>> Anypoint Exchange is for asset discovery and documentation. It has got no provision to modify the properties of Mule API implementations at all.
>> API Manager is for managing API instances, their contracts, policies and SLAs. It has also got no provision to modify the properties of API implementations.
>> API policies are to address Non-functional requirements of APIs and has again got no provision to modify the properties of API implementations.
So, the right way and recommended way to do this as part of development practice is to bundle properties files for each environment into the Mule API implementation and just point and refer to respective file per environment.

81. Frage
An IT Security Compliance Auditor is assessing which nonfunctional requirements (NFRs) are already being implemented to meet security measures.
* The Web API has Rate-Limiting SLA
* Basic Authentication - LDAP
* JSON Threat Protection
* TP Allowlist policies applied
Which two NFRs-are enforced?

A. Sensitive data is masked to prevent compromising critical information
B. The API is protected against XML invocation attacks
C. The API invocations are coming from a known subnet range
D. Username/password supported to validate login credentials
E. Performance expectations are to be allowed up to 1,000 requests per second

Antwort: C,D

Begründung:
Understanding Nonfunctional Requirements (NFRs):
The NFRs in this context are related to security measures implemented for the Web API, such as rate limiting, LDAP-based authentication, JSON threat protection, and IP allowlist policies.
Evaluating the Options:
Option A (Correct Answer): The IP allowlist policy restricts access to known subnets, ensuring that API invocations come from a defined range of IPs.
Option B (Correct Answer): Basic Authentication with LDAP enforces a username/password validation, satisfying an NFR for identity verification.
Option C: Masking sensitive data is not part of the listed NFRs, as none of the mentioned policies address data masking.
Option D: XML threat protection is not mentioned, so this option is incorrect.
Option E: While rate-limiting implies performance control, it does not directly enforce a specific performance expectation.
Conclusion:
Options A and B are correct as they directly address the implemented security measures related to IP range restrictions and username/password authentication.
Refer to MuleSoft's documentation on API security policies for details on LDAP, rate limiting, and allowlist policies.

82. Frage
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