MCIA Practice Exam
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1)
Question:
An organization is sizing an Anypoint Virtual Private Cloud (VPC) to extend its
internal network to CloudHub 1.0. For this sizing calculation, the organization
assumes three production-type environments will each support up to 150 Mule
application deployments. Each Mule application deployment is expected to be
configured with two CloudHub 1.0 workers and will use the zero-downtime feature in
CloudHub 1.0. This is expected to result in, at most, several Mule application
deployments per hour.
What is the minimum number of IP addresses that should be configured for this VPC
resulting in the smallest usable range of private IP addresses to support the
deployment and zero- downtime of these 150 Mule applications (not accounting for
any future Mule applications)?
A)
10.0.0.0/24 (256 IPs)
B) 10.0.0.0/23 (512 IPs)
C) 10.0.0.0/22 (1024 IPs)
D) 10.0.0.0/21 (2048 IPs)
Answer:
To determine the minimum number of IP addresses required for the Anypoint Virtual
Private Cloud (VPC) based on the provided information, let's analyse the
requirements:
1. **
Number of Mule application deployments:
** 3 environments * 150
deployments/environment = 450 deployments.
2. **
Number of workers per deployment:
** 2 CloudHub workers per deployment.
Now, considering the zero-downtime feature, several Mule application deployments
can occur per hour, but the exact number is not specified. To ensure sufficient IP
addresses for scaling and potential simultaneous deployments, we can make a
reasonable assumption about the maximum number of concurrent deployments.
Let's assume a maximum of 10 simultaneous deployments (this is just a hypothetical
number, and you may need to adjust it based on your specific requirements).
So, the total number of IP addresses required = 450 deployments * 2
workers/deployment + 10 simultaneous deployments
[
= 450 times 2 + 10 = 910
]
Now, let's choose the smallest usable range of private IP addresses that covers at least
910 addresses:
The options provided are:
A) 10.0.0.0/24 (256 IPs)
B) 10.0.0.0/23 (512 IPs)
C) 10.0.0.0/22 (1024 IPs)
D) 10.0.0.0/21 (2048 IPs)
Since 910 addresses fall between 512 and 1024, the correct answer would be:
**C) 10.0.0.0/22 (1024 IPs) **
This subnet provides enough addresses to accommodate the calculated minimum
number of IP addresses needed for the given scenario.
2)
Question
:
A Mule application is deployed to a single CloudHub 1.0 worker, and the public URL
appears in Runtime Manager as the App URL. Requests are sent by external web
clients over the public internet to the Mule application's App URL. Each of these
requests is routed to the HTTPS Listener event source of the running Mule
application. Later, the DevOps team edits some properties of this running Mule
application in Runtime Manager. Immediately after the new property values are
applied in Runtime Manager, how is the current Mule application deployment
affected, and how will future web client requests to the Mule application be handled?
A) CloudHub 1.0 will redeploy the Mule application to the old CloudHub 1.0 worker.
New web client requests are routed to the old CloudHub 1.0 worker both before and
after the Mule application is redeployed.
B) CloudHub 1.0 will redeploy the Mule application to a new CloudHub 1.0 worker.
New web client requests are routed to the old CloudHub 1.0 worker until the new
CloudHub 1.0 worker is available.
C) CloudHub 1.0 will redeploy the Mule application to the old CloudHub 1.0 worker.
New web client requests will return an error until the Mule application is redeployed
to the old CloudHub 1.0 worker.
D) CloudHub 1.0 will redeploy the Mule application to a new CloudHub 1.0 worker.
New web client requests will return an error until the new CloudHub 1.0 worker is
available.
Answer
: In CloudHub, when you edit properties of a running Mule application in Runtime
Manager, the changes are applied without redeploying the application. This is known
as dynamic configuration updates. The application remains running, and new
configurations take effect immediately.
Therefore, in the scenario described:
**
How is the current Mule application deployment affected immediately after
the new property values are applied?
**
**
Answer: D)
CloudHub 1.0 will redeploy the Mule application to a new CloudHub
1.0 worker. New web client requests will return an error until the new CloudHub 1.0
worker is available. **
This statement is not accurate for dynamic configuration updates. Dynamic updates
do not involve redeployment to a new worker, and existing requests are not
interrupted.
**
How will future web client requests to the Mule application be handled?
**
**Answer: B) CloudHub 1.0 will redeploy the Mule application to a new CloudHub
1.0 worker. New web client requests are routed to the old CloudHub 1.0 worker until
the new CloudHub 1.0 worker is available. **
When dynamic configuration updates are applied, the Mule application is not
redeployed to a new worker immediately. However, if you later decide to explicitly
redeploy the application, the new deployment may go to a different worker. Until that
new worker is fully available, existing requests will continue to be served by the old
worker.
So, the correct answer is a combination of options D and B:
**D) CloudHub 1.0 will redeploy the Mule application to a new CloudHub 1.0
worker. New web client requests are routed to the old CloudHub 1.0 worker until the
new CloudHub 1.0 worker is available. **
3)
Question
:
An airline's passenger reservations centre is designing an integration solution that
combines invocations of three different System APIs (bookFlight, bookHotel, and
bookCar) in a business transaction. Each System API makes calls to a single database.
The entire business transaction must be rolled back when at least one of the APIs fails.
What is the most direct way to integrate these APIs in near real-time that provides the
best balance of consistency, performance, and reliability?
A) Implement an extended Architecture (XA) transaction manager in a Mule
application using a Saga pattern. Connect each API implementation with the Mule
application using XA transactions. Apply various compensating actions depending on
where a failure occurs.
B) Implement local transactions within each API implementation Configure each API
implementation to also participate in the same extended Architecture (XA)
transaction. Implement caching in each API implementation to improve performance.
C) Implement extended Architecture (XA) transactions between the API
implementations. Coordinate between the API implementations using a Saga pattern
Implement caching in each API implementation to improve performance.
D) Implement local transactions in each API implementation. Coordinate between the
API implementations using a Saga pattern. Apply various compensating actions
depending on where a failure occurs.
Answer
: The most direct way to integrate the System APIs in near real-time with the best balance of consistency, performance, and reliability, considering the requirement for the entire business transaction to be rolled back when at least one API fails, is by using a Saga pattern.
**
Option D is the most suitable choice:
**
D) **
Implement local transactions in each API implementation. Coordinate between the API implementations using a Saga pattern. Apply various compensating actions depending on where a failure occurs.
**
Explanation:
**
Local Transactions:
** Each API implementation should use local transactions to ensure consistency within its own database operations. Local transactions are generally more performant than distributed transactions.
**
Saga Pattern:
** The Saga pattern is designed for long-lived transactions where a sequence of local transactions is coordinated to achieve a global outcome. If any step in the saga fails, compensating transactions are executed to undo the effects of the preceding steps. This aligns well with the requirement of rolling back the entire business transaction if at least one API fails.
**
Compensating Actions:
** Using compensating actions ensures that if a failure occurs at any point in the saga, appropriate actions can be taken to revert the changes made by the preceding steps.
While options A and C mention the use of XA transactions, they might introduce more
complexity and potentially impact performance. The Saga pattern, as described in option D, is a more practical and straightforward approach for managing distributed transactions with compensating actions.
4)
Question:
An organization plans to leverage the Anypoint Security policies for Edge to enforce
security policies on nodes deployed to its Anypoint Runtime Fabric.
Which two considerations must be kept in mind to configure and use the security
policies? (Choose two.)
A)
Runtime Fabric with inbound traffic must be configured.
B)
HTTP limits policies are designed to protect the network nodes against malicious
clients such as DoS applications trying to flood the network to prevent legitimate
traffic to APIs.
C)
Runtime Fabric with outbound traffic must be configured.
D)
Web application firewall policies allow configuring an explicit list of IP addresses
that can access deployed endpoints.
E) Anypoint Security for Edge entitlement must be configured for the Anypoint
Platform account.
Answer
: The correct considerations to keep in mind when configuring and using Anypoint
Security policies for Edge on nodes deployed to Anypoint Runtime Fabric are:
B) **
HTTP limits policies are designed to protect the network nodes against
malicious clients such as DoS applications trying to flood the network to prevent
legitimate traffic to APIs.
**
Explanation: HTTP limits policies help protect against various types of attacks,
including Denial of Service (DoS) attacks, by limiting the rate and size of incoming
requests.
E) **
Anypoint Security for Edge entitlement must be configured for the
Anypoint Platform account.
**
Explanation: Anypoint Security for Edge is a feature that requires proper entitlement
and configuration for the Anypoint Platform account. This entitlement ensures that the
security policies are available and can be applied to the deployed nodes.
The other options (A, C, D) are not specifically related to Anypoint Security policies
for Edge. However, configuring inbound and outbound traffic (consideration A and C)
is generally important for network configurations, but they are not specific to
Anypoint Security policies. Similarly, the explicit list of IP addresses for access
control (consideration D) is not a direct consideration for Anypoint Security policies.
5)
Question:
An API is being implemented using the components of Anypoint Platform. The API
implementation must be managed and governed (by applying API policies) on
Anypoint Platform. What must be done before the API implementation can be
governed by Anypoint Platform? A) The OAS definitions in the Design Centre project of the API and the API
implementation's corresponding Mule project in Anypoint Studio must be
synchronized.
B) A RAML definition of the API must be created in API Designer so the API can
then be published to Anypoint Exchange.
C) The API must be published to the organization's public portal so potential
developers and API consumers both inside and outside of the organization can interact
with the API.
D) The API must be published to Anypoint Exchange, and a corresponding API
Instance ID must be obtained from API Manager to be used in the API
implementation.
Answer
: The correct answer is:
D) **
The API must be published to Anypoint Exchange, and a corresponding
API Instance ID must be obtained from API Manager to be used in the API
implementation.
**
Explanation:
**
Publishing to Anypoint Exchange:
** Anypoint Exchange is the repository where
APIs, templates, connectors, and other reusable assets are stored and shared. Before
an API can be governed by Anypoint Platform, it needs to be published to Anypoint
Exchange.
**
API Instance ID from API Manager:
** After publishing the API to Anypoint
Exchange, it must be subscribed to and managed by API Manager. When the API is
managed, it gets a unique API Instance ID assigned by API Manager. This API
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