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MCIA-Level-1 Valid Dumps Ebook - Study MCIA-Level-1 Plan

MCIA-Level-1 Valid Dumps Ebook - Study MCIA-Level-1 Plan

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MuleSoft Certified Integration Architect - Level 1 Sample Questions (Q227-Q232):

NEW QUESTION # 227
A Mule application contains a Batch Job with two Batch Steps (Batch_Step_l and Batch_Step_2). A payload with 1000 records is received by the Batch Job.
How many threads are used by the Batch Job to process records, and how does each Batch Step process records within the Batch Job?

  • A. Each Batch Job uses a SINGLE THREAD for all Batch steps Each Batch step instance receives ONE record at a time as the payload, and RECORDS are processed IN ORDER, first through Batch_Step_l and then through Batch_Step_2
  • B. Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and BATCH STEP INSTANCES execute IN PARALLEL to process records and Batch Steps in ANY order as fast as possible
  • C. Each Batch Job uses a SINGLE THREAD to process a configured block size of record Each Batch Step instance receives A BLOCK OF records as the payload, and BLOCKS of records are processed IN ORDER
  • D. Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and RECORDS are processed IN PARALLEL within and between the two Batch Steps

Answer: D

Explanation:
* Each Batch Job uses SEVERAL THREADS for the Batch Steps
* Each Batch Step instance receives ONE record at a time as the payload. It's not received in a block, as it does not wait for multiple records to be completed before moving to next batch step. (So Option D is out of choice)
* RECORDS are processed IN PARALLEL within and between the two Batch Steps.
* RECORDS are not processed in order. Let's say if second record completes batch_step_1 before record 1, then it moves to batch_step_2 before record 1. (So option C and D are out of choice)
* A batch job is the scope element in an application in which Mule processes a message payload as a batch of records. The term batch job is inclusive of all three phases of processing: Load and Dispatch, Process, and On Complete.
* A batch job instance is an occurrence in a Mule application whenever a Mule flow executes a batch job. Mule creates the batch job instance in the Load and Dispatch phase. Every batch job instance is identified internally using a unique String known as batch job instance id.


NEW QUESTION # 228
A system API EmployeeSAPI is used to fetch employee's data from an underlying SQL database.
The architect must design a caching strategy to query the database only when there is an update to the employees stable or else return a cached response in order to minimize the number of redundant transactions being handled by the database.
What must the architect do to achieve the caching objective?

  • A. Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and set expiration interval to 1-hour
  • B. Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and expiration interval to empty
  • C. Use an on table rule on employees table call invalidate cache and said new employees data to cache Use an object store caching strategy and set expiration interval to 1-hour
  • D. Use an On Table Row on employees table and call invalidate cache
    Use an object store caching strategy and expiration interval to empty

Answer: D

Explanation:
To achieve efficient caching and reduce redundant database transactions, the following strategy can be implemented:
* On Table Row Listener: Implement an "On Table Row" trigger on the employees' table. This trigger will monitor changes (inserts, updates, deletes) in the employee records.
* Invalidate Cache: Upon detecting changes in the employees' table, the trigger will call a flow to invalidate the current cache.
* Object Store for Caching: Utilize MuleSoft's object store to cache the employee data. This store can hold the data for quick retrieval.
* Set Expiration Interval: Configure the expiration interval for the cached data to ensure it is cleared when necessary. For this scenario, since we are invalidating cache on actual data changes, setting the expiration interval to empty can be suitable.
* Return Cached Data: If there are no updates, the cached response is returned, reducing database load.
References:
* MuleSoft Documentation on Object Store
* Caching Strategies


NEW QUESTION # 229
Refer to the exhibit.

An organization is sizing an Anypoint VPC for the non-production deployments of those Mule applications that connect to the organization's on-premises systems. This applies to approx. 60 Mule applications. Each application is deployed to two CloudHub i workers. The organization currently has three non-production environments (DEV, SIT and UAT) that share this VPC. The AWS region of the VPC has two AZs.
The organization has a very mature DevOps approach which automatically progresses each application through all non-production environments before automatically deploying to production. This process results in several Mule application deployments per hour, using CloudHub's normal zero-downtime deployment feature.
What is a CIDR block for this VPC that results in the smallest usable private IP address range?

  • A. 10.0.0.0/24 (256 IPs)
  • B. 10.0.0.0/25 (128 IPs)
  • C. 10.0.0.0/26 (64 IPS)
  • D. 10.0.0.0/22 (1024 IPs)

Answer: D

Explanation:
Mule applications are deployed in CloudHub workers and each worker is assigned with a dedicated IP * For zero downtime deployment, each worker in CloudHub needs additional IP addresses * A few IPs in a VPC are reserved for infrastructure (generally 2 IPs) * The IP addresses are usually in a private range with a subnet block specifier, such as 10.0.0.1/24 * The smallest CIDR network subnet block you can assign for your VPC is /24 (256 IP addresses) (60*3 env * 2 worker per application ) + 50% of (total) for zero downtime = 540 In this case correct answer is 10.0.0.0/22 as this provided 1024 IP's .
Other IP's are insufficient.


NEW QUESTION # 230
Refer to the exhibit.

A Mule application is deployed to a cluster of two customer-hosted Mute runtimes. The Mute application has a flow that polls a database and another flow with an HTTP Listener.
HTTP clients send HTTP requests directly to individual cluster nodes.
What happens to database polling and HTTP request handling in the time after the primary (master) node of the cluster has railed, but before that node is restarted?

  • A. Database polling stops All HTTP requests continue to be accepted
  • B. Database polling stops All HTTP requests are rejected
  • C. Database polling continues Only HTTP requests sent to the remaining node continue to be accepted
  • D. Database polling continues All HTTP requests continue to be accepted, but requests to the failed node Incur increased latency

Answer: C


NEW QUESTION # 231
Refer to the exhibit.

A Mule application has an HTTP Listener that accepts HTTP DELETE requests. This Mule application Is deployed to three CloudHub workers under the control of the CloudHub Shared Load Balancer.
A web client makes a sequence of requests to the Mule application's public URL.
How is this sequence of web client requests distributed among the HTTP Listeners running in the three CloudHub workers?

  • A. Each request Is routed to ONE ARBiTRARY CloudHub worker out of ALL three CloudHub workers
  • B. Each request is routed to ONE ARBiTRARY CloudHub worker in the PRIMARY Availability Zone (AZ)
  • C. Each request is routed to the PRIMARY CloudHub worker in the PRIMARY Availability Zone (AZ)
  • D. Each request is routed (scattered) to ALL three CloudHub workers at the same time

Answer: A

Explanation:
Correct behavior is Each request is routed to ONE ARBITRARY CloudHub worker out of ALL three CloudHub workers


NEW QUESTION # 232
......

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