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MuleSoft Certified Integration Architect - Level 1 MAINTENANCE Sample Questions (Q96-Q101):
NEW QUESTION # 96
A rale limiting policy has been applied to a soap VI.2 API published in Clondhub. The API implementation catches errors in a global error handler on error propagate in the main flow for HTTP: RETRY_EXHAUSTED with HTTP status set to 429 and any with the HTTP status set to 500.
What is the expected H1TP status when the client exceeds the quota of the API calls?
- A. HTTP status 429 as defined in the HTTP:RETRY EXHAUSTED error handler in the API B. HTTP status 500 as defined in the ANY error handler in the API since an API:RETRY_EXHAUSTED will be generated
- B. HTTP status 401 unauthorized for policy violation
- C. HTTP status 400 from the rate-limiting policy violation since the call does not reach the back-end
Answer: A
NEW QUESTION # 97
An organization is evaluating using the CloudHub shared Load Balancer (SLB) vs creating a CloudHub dedicated load balancer (DLB). They are evaluating how this choice affects the various types of certificates used by CloudHub deployed Mule applications, including MuleSoft-provided, customer-provided, or Mule application-provided certificates. What type of restrictions exist on the types of certificates for the service that can be exposed by the CloudHub Shared Load Balancer (SLB) to external web clients over the public internet?
- A. Underlying Mule applications need to implement own certificates
- B. Only MuleSoft provided certificates can be used for server side certificate
- C. Only self signed certificates can be used
- D. All certificates which can be used in shared load balancer need to get approved by raising support ticket
Answer: B
Explanation:
Explanation
Correct answer is Only MuleSoft provided certificates can be used for server side certificate
* The CloudHub Shared Load Balancer terminates TLS connections and uses its own server-side certificate.
* You would need to use dedicated load balancer which can enable you to define SSL configurations to provide custom certificates and optionally enforce two-way SSL client authentication.
* To use a dedicated load balancer in your environment, you must first create an Anypoint VPC. Because you can associate multiple environments with the same Anypoint VPC, you can use the same dedicated load balancer for your different environments.
Additional Info on SLB Vs DLB:
Table Description automatically generated
NEW QUESTION # 98
A Mule application is being designed To receive nightly a CSV file containing millions of records from an external vendor over SFTP, The records from the file need to be validated, transformed. And then written to a database. Records can be inserted into the database in any order.
In this use case, what combination of Mule components provides the most effective and performant way to write these records to the database?
- A. Use a Parallel for Each scope to Insert records one by one into the database
- B. Use a DataWeave map operation and an Async scope to insert records one by one into the database.
- C. Use a Scatter-Gather to bulk insert records into the database
- D. Use a Batch job scope to bulk insert records into the database.
Answer: D
Explanation:
Explanation
Correct answer is Use a Batch job scope to bulk insert records into the database
* Batch Job is most efficient way to manage millions of records.
A few points to note here are as follows :
Reliability: If you want reliabilty while processing the records, i.e should the processing survive a runtime crash or other unhappy scenarios, and when restarted process all the remaining records, if yes then go for batch as it uses persistent queues.
Error Handling: In Parallel for each an error in a particular route will stop processing the remaining records in that route and in such case you'd need to handle it using on error continue, batch process does not stop during such error instead you can have a step for failures and have a dedicated handling in it.
Memory footprint: Since question said that there are millions of records to process, parallel for each will aggregate all the processed records at the end and can possibly cause Out Of Memory.
Batch job instead provides a BatchResult in the on complete phase where you can get the count of failures and success. For huge file processing if order is not a concern definitely go ahead with Batch Job
NEW QUESTION # 99
When the mule application using VM is deployed to a customer-hosted cluster or multiple cloudhub workers, how are messages consumed by the Mule engine?
- A. the primary only in order to avoid duplicate processing
- B. by starting an XA transaction for each new message
- C. in non-deterministic way
- D. in a deterministic way
Answer: D
NEW QUESTION # 100
An organization has several APIs that accept JSON data over HTTP POST. The APIs are all publicly available and are associated with several mobile applications and web applications. The organization does NOT want to use any authentication or compliance policies for these APIs, but at the same time, is worried that some bad actor could send payloads that could somehow compromise the applications or servers running the API implementations. What out-of-the-box Anypoint Platform policy can address exposure to this threat?
- A. Apply an IP blacklist policy to all APIs; the blacklist will Include all bad actors
- B. Apply a Header injection and removal policy that detects the malicious data before it is used
- C. Apply a JSON threat protection policy to all APIs to detect potential threat vectors
- D. Shut out bad actors by using HTTPS mutual authentication for all API invocations
Answer: C
Explanation:
Explanation
We need to note few things about the scenario which will help us in reaching the correct solution.
Point 1 : The APIs are all publicly available and are associated with several mobile applications and web applications. This means Apply an IP blacklist policy is not viable option. as blacklisting IPs is limited to partial web traffic. It can't be useful for traffic from mobile application Point 2 : The organization does NOT want to use any authentication or compliance policies for these APIs.
This means we can not apply HTTPS mutual authentication scheme.
Header injection or removal will not help the purpose.
By its nature, JSON is vulnerable to JavaScript injection. When you parse the JSON object, the malicious code inflicts its damages. An inordinate increase in the size and depth of the JSON payload can indicate injection.
Applying the JSON threat protection policy can limit the size of your JSON payload and thwart recursive additions to the JSON hierarchy.
Hence correct answer is Apply a JSON threat protection policy to all APIs to detect potential threat vectors
NEW QUESTION # 101
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