Salesforce Mule-Arch-201 : Salesforce Certified MuleSoft Platform Architect

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Salesforce Certified MuleSoft Platform Architect Mule-Arch-201 Prüfungsfragen mit Lösungen:

1. In an organization, the InfoSec team is investigating Anypoint Platform related data traffic.
From where does most of the data available to Anypoint Platform for monitoring and alerting originate?

A) From the Mule runtime or the API Manager, depending on the type of data
B) From various components of Anypoint Platform, such as the Shared Load Balancer, VPC, and Mule runtimes
C) From the Mule runtime or the API implementation, depending on the deployment model
D) From the Mule runtime irrespective of the deployment model

2. Which of the below, when used together, makes the IT Operational Model effective?

A) Create resuable assets, make them discoverable so that LOB teams can self-serve and browse the APIs
B) Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics
C) Create reusable assets, Do marketing on the created assets across organization, Arrange time to time LOB reviews to ensure assets are being consumed or not

3. An organization has built an application network following the API-led connectivity approach recommended by MuleSoft. To protect the application network against attacks from malicious external API clients, the organization plans to apply JSON Threat Protection policies.
To which API-led connectivity layer should the JSON Threat Protection policies most commonly be applied?

A) System layer
B) Process layer
C) All layers
D) Experience layer

4. A client has several applications running on the Salesforce service cloud. The business requirement for integration is to get daily data changes from Account and Case Objects. Data needs to be moved to the client's private cloud AWS DynamoDB instance as a single JSON and the business foresees only wanting five attributes from the Account object, which has 219 attributes (some custom) and eight attributes from the Case Object.
What design should be used to support the API/ Application data model?

A) Create separate entities for Account with five attributes and Case with eight attributes in SAPI, which are combined by the PAPI to provide JSON output containing 13 attributes.
B) Start implementing an Enterprise Data Model by defining enterprise Account and Case Objects and implement SAPI and DynamoDB tables based on the Enterprise Data Model,
C) Create separate entities for Account and Case Objects by mimicking all the attributes in SAPI, which are combined by the PAPI and filtered to provide JSON output containing 13 attributes.
D) Request client's AWS project team to replicate all the attributes and create Account and Case JSON table in DynamoDB. Then create separate entities for Account and Case Objects by mimicking all the attributes in SAPI to transfer ISON data to DynamoD for respective Objects

5. A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity.
The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms.
If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API's desired SLA?

A) Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete
B) Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds
C) No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API
D) Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries

Fragen und Antworten: