Dan Walker Dan Walker's Página de perfil

Dan Walker Dan Walker

0 Inscritos en el curso • 0 Curso completado

Biografía

MCPA-Level-1 Prüfungsfragen Prüfungsvorbereitungen, MCPA-Level-1 Fragen und Antworten, MuleSoft Certified Platform Architect - Level 1

Überlegen Sie nicht länger. Wenn Sie die Inhalte der MuleSoft MCPA-Level-1 Dumps probieren, klicken Sie bitte Zertpruefung Website. Sie können die MuleSoft MCPA-Level-1 Demo von der Website herunterladen. Vor dem Kauf könnten Sie sich auch mehr über diese Website informieren. Außerdem können Sie auch die volle Rückerstattung für den Durchfall der MuleSoft MCPA-Level-1 Prüfungen zuvor kennen lernen. Zertpruefung ist unbedingt eine Website, die Ihre alle Interesse garantieren und an Ihnen denken wollen.

Die Prüfung umfasst eine Vielzahl von Themen rund um die MuleSoft Anypoint Platform, einschließlich API-basierter Konnektivität, Datenintegrationen, Anwendungsumgebungen und Bereitstellungsstrategien. Die Kandidaten sollten ein tiefes Verständnis dieser Themen haben sowie praktische Erfahrung mit der Verwendung der Plattform zum Aufbau und zur Bereitstellung von Lösungen.

Die MuleSoft MCPA-Level-1 Zertifizierungsprüfung ist für diejenigen konzipiert, die ihre Expertise im Entwerfen, Erstellen und Verwalten von Integrationslösungen mit MuleSofts Anypoint Platform demonstrieren möchten. Diese Zertifizierung richtet sich an Architekten und Entwickler, die ihre Karriere im Bereich Integration vorantreiben und Anerkennung für ihre Expertise in MuleSofts Technologie erhalten möchten. Die Prüfung umfasst eine Vielzahl von Themen, einschließlich MuleSofts Architektur, Implementierungsmuster und Best Practices für das Entwerfen und Verwalten von Integrationen.

>> MCPA-Level-1 Prüfungsfrage <<

MCPA-Level-1 Schulungsangebot, MCPA-Level-1 Testing Engine, MuleSoft Certified Platform Architect - Level 1 Trainingsunterlagen

Auf die Prüfung MuleSoft MCPA-Level-1 zu vorbereiten brauchen Sie ein großer Stapel Bücher nicht. An dem Schulungskurs geldaufwendig zu teilnehmen, brauchen Sie auch gar nicht. Mit die Software unserer Zertpruefung können Sie das Ziel erreichen! Unsere Produkte können nicht nur die Stresse der Vorbereitung der MuleSoft MCPA-Level-1 Prüfung erleichtern, sondern auch die Sorge der Geldverschwendung beseitigen. Da wir versprechen, falls Sie die MuleSoft MCPA-Level-1 nach dem Kauf der MuleSoft MCPA-Level-1 Prüfungsunterlagen nicht bei der ersten Probe bestehen, bieten wir Ihnen volle Rückerstattung. Lassen Sie beruhigt kaufen!

Die MCPA-Level-1-Zertifizierungsprüfung richtet sich an erfahrene Architekten, die ein tiefes Verständnis der Plattform von Mulesoft haben und komplexe Integrationsprojekte entwerfen und implementieren können. Die Kandidaten für diese Zertifizierung sollten mindestens 3-5 Jahre Erfahrung in der Arbeit mit der Anypoint-Plattform von Mulesoft haben und mit einer Vielzahl von Integrationsmustern und -technologien vertraut sein.

MuleSoft Certified Platform Architect - Level 1 MCPA-Level-1 Prüfungsfragen mit Lösungen (Q70-Q75):

70. Frage
An organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft).
What best describes each modern API in relation to this new IT operating model?

A. Each modem API must be treated like a product and designed for a particular target audience (for instance, mobile app developers)
B. Each modern API has its own software development lifecycle, which reduces the need for documentation and automation
C. Each modern API must be easy to consume, so should avoid complex authentication mechanisms such as SAML or JWT D
D. Each modern API must be REST and HTTP based

Antwort: A

Begründung:
Correct Answers:
1. Each modern API must be treated like a product and designed for a particular target audience (for instance mobile app developers)
*****************************************

Bottom of Form
Top of Form

71. Frage
Due to a limitation in the backend system, a system API can only handle up to 500 requests per second. What is the best type of API policy to apply to the system API to avoid overloading the backend system?

A. HTTP caching
B. Spike control
C. Rate limiting - SLA based
D. Rate limiting

Antwort: B

Begründung:
Correct answer: Spike control
*****************************************
>> First things first, HTTP Caching policy is for purposes different than avoiding the backend system from overloading. So this is OUT.
>> Rate Limiting and Throttling/ Spike Control policies are designed to limit API access, but have different intentions.
>> Rate limiting protects an API by applying a hard limit on its access.
>> Throttling/ Spike Control shapes API access by smoothing spikes in traffic.
That is why, Spike Control is the right option.

72. Frage
A system API is deployed to a primary environment as well as to a disaster recovery (DR) environment, with different DNS names in each environment. A process API is a client to the system API and is being rate limited by the system API, with different limits in each of the environments. The system API's DR environment provides only 20% of the rate limiting offered by the primary environment. What is the best API fault-tolerant invocation strategy to reduce overall errors in the process API, given these conditions and constraints?

A. Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke the system API deployed to the DR environment
B. In parallel, invoke the system API deployed to the primary environment and the system API deployed to the DR environment; add timeout and retry logic to the process API to avoid intermittent failures; add logic to the process API to combine the results
C. Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke a copy of the process API deployed to the DR environment
D. Invoke the system API deployed to the primary environment; add retry logic to the process API to handle intermittent failures by invoking the system API deployed to the DR environment

Antwort: A

Begründung:
Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke the system API deployed to the DR environment
*****************************************
There is one important consideration to be noted in the question which is - System API in DR environment provides only 20% of the rate limiting offered by the primary environment. So,comparitively, very less calls will be allowed into the DR environment API opposed to its primary environment. With this in mind, lets analyse what is the right and best fault-tolerant invocation strategy.
1. Invoking both the system APIs in parallel is definitely NOT a feasible approach because of the 20% limitation we have on DR environment. Calling in parallel every time would easily and quickly exhaust the rate limits on DR environment and may not give chance to genuine intermittent error scenarios to let in during the time of need.
2. Another option given is suggesting to add timeout and retry logic to process API while invoking primary environment's system API. This is good so far. However, when all retries failed, the option is suggesting to invoke the copy of process API on DR environment which is not right or recommended. Only system API is the one to be considered for fallback and not the whole process API. Process APIs usually have lot of heavy orchestration calling many other APIs which we do not want to repeat again by calling DR's process API. So this option is NOT right.
3. One more option given is suggesting to add the retry (no timeout) logic to process API to directly retry on DR environment's system API instead of retrying the primary environment system API first. This is not at all a proper fallback. A proper fallback should occur only after all retries are performed and exhausted on Primary environment first. But here, the option is suggesting to directly retry fallback API on first failure itself without trying main API. So, this option is NOT right too.
This leaves us one option which is right and best fit.
- Invoke the system API deployed to the primary environment
- Add Timeout and Retry logic on it in process API
- If it fails even after all retries, then invoke the system API deployed to the DR environment.

73. Frage
4A developer for a transportation organization is implementing exactly one processing functionality in a Reservation Mule application to process and store passenger records. This Reservation application will be deployed to multiple CloudHub workers/replicas. It is possible that several external systems could send duplicate passenger records to the Reservation application.
An appropriate storage mechanism must be selected to help the Reservation application process each passenger record exactly once as much as possible. The selected storage mechanism must be shared by all the CloudHub workers/replicas in order to synchronize the state information to assist attempting exactly once processing of each passenger record by the deployed Reservation Mule application.
Which type of simple storage mechanism in Anypoint Platform allows the Reservation Mule application to update and share data between the CloudHub workers/replicas exactly once, with minimal development effort?

A. Non-persistent Object Store
B. Persistent Object Store
C. In-memory Mule Object Store
D. Runtime Fabric Object Store

Antwort: B

Begründung:
* Processing Requirements and Storage Mechanism:
* The Reservation Mule application will be deployed to multiple CloudHub workers/replicas, meaning that each worker must share state information to handle records exactly once. This requires a shared storage mechanism where state can be stored and accessed by multiple instances to avoid duplicate processing of the same records.
* A Persistent Object Store in Anypoint Platform can be used to store records in a way that is accessible across multiple workers, providing a reliable mechanism for "exactly once" processing.
* Evaluating the Options:
* Option A (Correct Answer): A Persistent Object Store is designed to retain data across different application instances and can be shared by all workers on CloudHub. It helps achieve idempotency by ensuring that a record is processed exactly once.
* Option B: Runtime Fabric Object Store is used for applications deployed in Anypoint Runtime Fabric, not CloudHub. This option would not be compatible with the CloudHub deployment.
* Option C: A Non-persistent Object Store does not retain data across application restarts or different instances, making it unsuitable for the requirement of synchronized storage for exactly- once processing.
* Option D: An In-memory Mule Object Store is local to each worker and is not shared across instances, so it does not meet the requirement for a shared storage mechanism accessible to all CloudHub workers.
* Conclusion:
* Option A is the correct answer, as a Persistent Object Store allows data sharing across multiple CloudHub workers, enabling them to synchronize and achieve "exactly once" processing of passenger records with minimal development effort.
Refer to MuleSoft's documentation on Object Store configurations and usage for best practices on handling state across distributed instances.

74. Frage
What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?

A. The FQDNs are determined by the application name, but can be modified by an administrator after deployment
B. The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
C. The FQDNs are determined by both the application name and the Anypoint Platform organization
D. A fixed number of FQDNs are created, IRRESPECTIVE of the environment and VPC design

Antwort: D

75. Frage
......

MCPA-Level-1 Deutsch: https://www.zertpruefung.de/MCPA-Level-1_exam.html