MuleSoft Certified Integration Architect - Level 1 MAINTENANCE MuleSoft Certified Integration Architect - Level 1 MAINTENANCE Dumps in PDF

Free MuleSoft MuleSoft Certified Integration Architect - Level 1 MAINTENANCE Real Questions (page: 3)

An API implementation is being designed that must invoke an Order API which is known to repeatedly experience downtime. For this reason a fallback API is to be called when the Order API is unavailable. What approach to designing invocation of the fallback API provides the best resilience?

  1. Redirect client requests through an HTTP 303 temporary redirect status code to the fallback API whenever the Order API is unavailable
  2. Set an option in the HTTP Requester component that invokes the order API to instead invoke a fallback API whenever an HTTP 4XX or 5XX response status code is received from Order API
  3. Create a separate entry for the order API in API manager and then invoke this API as a fallback API if the primary Order API is unavailable
  4. Search Anypoint Exchange for a suitable existing fallback API and them implement invocations to their fallback API in addition to the Order API

Answer(s): A

Explanation:

* Resilience testing is a type of software testing that observes how applications act under stress. It's meant to ensure the product's ability to perform in chaotic conditions without a loss of core functions or data; it ensures a quick recovery after unforeseen, uncontrollable events.

* In case an API invocation fails -
even after a certain number of retries -
it might be adequate to

invoke a different API as a fallback. A fallback API, by definition, will never be ideal for the purpose of the API client, otherwise it would be the primary API.

* Here are some examples for fallback APIs:

An old, deprecated version of the same API.

An alternative endpoint of the same API and version (e.g. API in another CloudHub region).

An API doing more than required, and therefore not as performant as the primary API.

An API doing less than required and therefore forcing the API Client to offer a degraded service, which is still better than no service at all.

* API clients implemented as Mule applications offer the `Until Successful Scope and Exception' strategies at their disposal, which together allow configuring fallback actions such as a fallback API invocation.

* All HTTP response status codes within the 3xx category are considered redirection messages. These codes indicate to the user agent (i.e. your web browser) that an additional action is required in order to complete the request and access the desired resource.



Hence correct answer is Redirect client requests through an HTTP 303 temporary redirect status code to the fallback API whenever the Order API is unavailable.



How are the API implementation , API client, and API consumer combined to invoke and process an API?

  1. The API consumer creates an API implementation , which receives API invocations from an API such that they are processed for an API client
  2. The API consumer creates an API client which sends API invocations to an API such that they are processed by an API implementation
  3. An API client creates an API consumer, which receives API invocation from an API such that they are processed for an API implementation
  4. The API client creates an API consumer which sends API invocations to an API such that they are processed by API implementation

Answer(s): C

Explanation:

The API consumer creates an API client which sends API invocations to an API such that they areprocessed by an API implementation.
This is based on below definitions API client:
· An application component · that accesses a service · by invoking an API of that service by definition of the term API over HTTP API consumer
· A business role, which is often assigned to an individual · that develops API clients, i.e., performs the activities necessary for enabling an API client to invoke APIs API implementation
· An application component · that implements the functionality



What Mule application can have API policies applied by Anypoint Platform to the endpoint exposed by that Mule application?

  1. A Mule application that accepts requests over HTTP/1x
  2. A Mule application that accepts JSON requests over TCP but is NOT required to provide a response.
  3. A Mule application that accepts JSON requests over WebSocket
  4. A Mule application that accepts gRPC requests over HTTP/2

Answer(s): A

Explanation:

* HTTP/1.1 keeps all requests and responses in plain text format.

* HTTP/2 uses the binary framing layer to encapsulate all messages in binary format, while still maintaining HTTP semantics, such as verbs, methods, and headers. It came into use in 2015, and offers several methods to decrease latency, especially when dealing with mobile platforms and server-intensive graphics and videos

* Currently, Mule application can have API policies only for Mule application that accepts requests over HTTP/1x



The implementation of a Process API must change. What is a valid approach that minimizes the impact of this change on API clients?

  1. Implement required changes to the Process API implementation so that whenever possible, the Process API's RAML definition remains unchanged
  2. Update the RAML definition of the current Process API and notify API client developers by sending them links to the updated RAML definition
  3. Postpone changes until API consumers acknowledge they are ready to migrate to a new Process API or API version
  4. Implement the Process API changes in a new API implementation, and have the old API implementation return an HTTP status code 301
    Moved Permanently to inform API clients they should be calling the new API implementation

Answer(s): A

Explanation:

* Option B shouldn't be used unless extremely needed, if RAML is changed, client needs to accommodate changes. Question is about minimizing impact on Client. So this is not a valid choice.

* Option C isn't valid as Business can't stop for consumers acknowledgment.

* Option D again needs Client to accommodate changes and isn't viable option.

* Best choice is A where RAML definition isn't changed and underlined functionality is changed without any dependency on client and without impacting client.



Organization wants to achieve high availability goal for Mule applications in customer hosted runtime plane. Due to the complexity involved, data cannot be shared among of different instances of same Mule application. What option best suits to this requirement considering high availability is very much critical to the organization?

  1. The cluster can be configured
  2. Use third party product to implement load balancer
  3. High availability can be achieved only in CloudHub
  4. Use persistent object store

Answer(s): B

Explanation:

High availability is about up-time of your application A) High availability can be achieved only in CloudHub isn't correct statement. It can be achieved in customer hosted runtime planes as well
B) An object store is a facility for storing objects in or across Mule applications. Mule runtime engine (Mule) uses object stores to persist data for eventual retrieval. It can be used for disaster recovery but not for High Availability. Using object store can't guarantee that all instances won't go down at once. So not an appropriate choice.


Reference:

https://docs.mulesoft.com/mule-runtime/4.3/mule-object-stores
C) High availability can be achieved by below two models for on-premise MuleSoft implementations.
1) Mule Clustering ­ Where multiple Mule servers are available within the same cluster environment and the routing of requests will be done by the load balancer. A cluster is a set of up to eight servers that act as a single deployment target and high-availability processing unit. Application instances in a cluster are aware of each other, share common information, and synchronize statuses. If one server fails, another server takes over processing applications.
A cluster can run multiple applications. ( refer left half of the diagram)
In given scenario, it's mentioned that 'data cannot be shared among of different instances'. So this is not a correct choice.

https://docs.mulesoft.com/runtime-manager/cluster-about
2) Load balanced standalone Mule instances ­ The high availability can be achieved even without cluster, with the usage of third party load balancer pointing requests to different Mule servers. This approach does not share or synchronize data between Mule runtimes. Also high availability achieved as load balanced algorithms can be implemented using external load balancer. ( refer right half of the diagram)



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A
AI Tutor Explanation
4/21/2026 8:48:36 AM

Question 3:

  • False is the correct answer (Option B).

Why:
  • In Snowflake, a database is a metadata object that exists within a single Snowflake account. Accounts are isolated—there isn’t one database that lives in multiple accounts.
  • You can access data across accounts via data sharing or database replication, but these create separate database objects in the other accounts (e.g., a database in the consumer account created from a share), not a single shared database across accounts.

So a single database cannot exist in more than one Snowflake account.

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Anonymous User
4/16/2026 10:54:18 AM

Question 1:

  • Correct answer: Edate = sys.argv[1]
  • Why this is correct:
- When a Databricks Job passes parameters to a notebook, those parameters are supplied to the notebook's Python process as command-line arguments. The first argument after the script name is sys.argv[1], so date = sys.argv[1] captures the passed date value directly.
  • How it compares to other options:
- date = spark.conf.get("date") reads from Spark config, not from job parameters. - input() waits for user input at runtime, which isn’t how job parameters are provided. - date = dbutils.notebooks.getParam("date") would work if the notebook were invoked via dbutils.notebook.run with parameters, not

A
Anonymous User
4/15/2026 4:42:07 AM

Question 528:

  • Correct answer: NSG flow logs for NSG1 (Option B)

  • Why:
- Traffic Analytics uses NSG flow logs to analyze traffic patterns. You must have NSG flow logs enabled for the NSGs you want to monitor. - An Azure Log Analytics workspace is also required to store and query the traffic data. - Network Watcher must be available in the subscription for traffic analytics to function.
  • What to configure (brief steps):
- Ensure Network Watcher is enabled in the East US region (for the subscription/region). - Enable NSG flow logs on NSG1. - Ensure a Log Analytics workspace exists and is accessible (read/write) so Traffic Analytics can store and query logs.
  • Why other options aren’t correct:
- “Diagnostic settings for VM1” or “Diagnostic settings for NSG1” alone don’t guarantee flow logs are captured and sent to Log Analytics, which Traffic Analytics relies on. - “Insights for VM1” is not how Traffic Analytics collects traffic data.

A
Anonymous User
4/15/2026 2:43:53 AM

Question 23:
The correct answer is Domain admin (option B), not Fabric admin.

  • Domain admin provides domain-level management: create domains/subdomains and assign workspaces within those domains, which matches the tasks while following least privilege.
  • Fabric admin is global-level access and is more privileges than needed for this scenario (it would grant broader control across the Fabric environment).

A
Anonymous User
4/14/2026 12:31:34 PM

Question 2:
For question 2, the key concept is the Longest Prefix Match. Routers pick the route whose subnet mask is the most specific (largest prefix length) that still matches the destination IP.
From the options:

  • A) 10.10.10.0/28 ? 10.10.10.0–10.10.10.15
  • B) 10.10.13.0/25 ? 10.10.13.0–10.10.13.127
  • C) 10.10.13.144/28 ? 10.10.13.144–10.10.13.159
  • D) 10.10.13.208/29 ? 10.10.13.208–10.10.13.215

The destination Host A’s IP must fall within 10.10.13.208–10.10.13.215 for the /29 to be the best match. Since /29 is the longest prefix among the matching options, Router1 will use 10.10.13.208/29.
Thus, the correct answer is D.

S
srameh
4/14/2026 10:09:29 AM

Question 3:

  • Correct answer: Phase 4, Post Accreditation

  • Explanation:
- In DITSCAP, the four phases are: - Phase 1: Definition (concept and requirements) - Phase 2: Verification (design and testing) - Phase 3: Validation (fielding and evaluation) - Phase 4: Post Accreditation (ongoing operations and lifecycle management) - The description—continuing operation of an accredited IT system and addressing changing threats throughout its life cycle—fits the Post Accreditation phase, which covers operations, maintenance, monitoring, and reauthorization as threats and environment evolve.

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onibokun10
4/13/2026 7:50:14 PM

Question 129:
Correct answer: CNAME

  • A CNAME record creates an alias for a domain, so newapplication.comptia.org will resolve to whatever IP address www.comptia.org resolves to. This ensures both names point to the same resource without duplicating the IP.
  • Why not the others:
- SOA defines authoritative information for a zone. - MX specifies mail exchange servers. - NS designates name servers for a zone.
  • Notes: The alias name (newapplication.comptia.org) should not have other records if you use a CNAME for it, and CNAMEs aren’t used for the zone apex (root) domain. This scenario uses a subdomain, so a CNAME is appropriate.

A
Anonymous User
4/13/2026 6:29:58 PM

Question 1:

  • Correct answer: C

  • Why this is best:
- Uses OS Login with IAM, so SSH access is granted via Google accounts rather than distributing per-user SSH keys. - Granting the compute.osAdminLogin role to a Google group gives admin access to all team members in a centralized, auditable way. - Access is auditable: Cloud Audit Logs show who accessed which VM, satisfying the security requirement to determine who accessed a given instance.
  • How it works:
- Enable OS Login on the project/instances (enable-oslogin metadata). - Add the team’s

A
Anonymous User
4/13/2026 1:00:51 PM

Question 2:

  • Answer: D. Azure Advisor

  • Why: To view security-related recommendations for resources in the Compute and Apps area (including App Service Web Apps and Functions), you use Azure Advisor. Advisor surfaces personalized best-practice recommendations across resources, including security, and shows which resources are affected and the severity.

  • Why not the others:
- Azure Log Analytics is for ad-hoc querying of telemetry, not for viewing security recommendations. - Azure Event Hubs is for streaming telemetry data, not for security recommendations.
  • Quick tip: In the portal, navigate to Azure Advisor and check the Security recommendations for App Services to see actionable items and affe

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4/8/2026 6:37:56 AM

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4/6/2026 5:22:54 PM

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LRK
3/22/2026 2:38:08 PM

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3/6/2026 5:26:16 AM

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1/20/2026 8:25:24 AM

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12/17/2025 8:24:45 AM

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12/16/2025 9:57:10 AM

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9/25/2025 9:11:14 AM

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9/21/2025 7:07:26 AM

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9/15/2025 11:21:52 PM

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