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| Section | Weight | Objectives |
|---|---|---|
| Integration Architecture | 24% | - Design a scalable integration architecture
|
| Integration Solutions Use Cases and Design | 31% | - Design integration solutions using APIs
|
| Secure Integration and Data Integration | 25% | - Implement secure integration solutions
|
| Integration Patterns and Strategy | 20% | - Identify the appropriate integration pattern needed for a given scenario
|
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NEW QUESTION # 79
A US business-to-consumer (B2C) company is planning to expand to Latin Americ a. They project an initial Latin American customer base of about one million, and a growth rate of around 10% every year for the next 5 years. They anticipate privacy and data protection requirements similar to those in the European Union to come into effect during this time. Their initial analysis indicates that key personal data is stored in the following systems:
1. Legacy mainframe systems that have remained untouched for years and are due to be decommissioned.
2. Salesforce Commerce Cloud Service Cloud, Marketing Cloud, and Community Cloud.
3. The company's CIO tasked the integration architect with ensuring that they can completely delete their Latin American customer's personal data on demand.
Which three requirements should the integration architect consider?
Choose 3 answers
Answer: A,B,D
NEW QUESTION # 80
A customer is evaluating the Platform Events solution and would like help in comparing/contrasting it with Outbound Messaging for real-time/near-real time needs. They expect 3,000 customers to view messages in Salesforce. What should be evaluated and highlighted when deciding between the solutions?
Answer: C
NEW QUESTION # 81
The director of customer service at Northern Trail Outfitters wants to capture and trend specific business events that occur in Salesforce in real time. The metrics will be accessed in an ad-hoc manner using an external analytics system. The events are as follows:
* A customer initiates a product exchange via a Case.
* A customer service rep clicks on the "Authorize Exchange Product" menu item in the Case.
* A customer initiates a subscription cancellation via a Case.
* A customer service rep clicks on the "Initiate Refund" menu item in the Case.
Which solution should meet these business requirements?
Answer: B
NEW QUESTION # 82
A company's security assessment noted vulnerabilities on the un managed packages in their Salesforce orgs, notably secrets that are easily accessible and in plain text, suchas usernames, passwords, and OAuth tokens used in callouts from Salesforce.
Which two persistence mechanisms should an integration architect require to be used to ensure that secrets are protected from deliberate or inadvertent exposure?
Choose 2 answers
Answer: B,C
Explanation:
Named Credentials and Protected Custom Settings are two persistence mechanisms that can be used to ensure that secrets are protected from deliberate or inadvertent exposure. Named Credentials allow you to specify the URL of a callout endpoint and its required authentication parameters in one definition. Salesforce manages all the authentication for Apex callouts that specify a namedcredential as the callout endpoint, and you don't have to add more authentication logic in your Apex code. Named Credentials can be defined to provide a secure and convenient way of settingup authenticated callouts, and they can also be usedin Lightning components, Visualforce pages, and flows1.
Protected Custom Settings are a type of custom settings that store application-specific data that is hidden from subscribers. They are only accessible by the managed package that created them, and they canbe used to store secrets such as encryption keys, passwords, or tokens. Protected Custom Settings can be accessed by Apex code, formulas, or validation rules within the same namespace as the settings2.
Encrypted Custom Fields are not a suitable mechanism for storing secrets, because they are not designed to prevent unauthorized access to sensitive data. Encrypted Custom Fields allow you to encrypt text fields using a standard encryption scheme. The encrypteddata is masked in reports, list views, and search results, but it can still be viewed by users who have the "View Encrypted Data" permission. Encrypted Custom Fields are intended to protect data from unauthorized access by users within your organization, not from external threats or malicious code3.
Protected Custom Metadata Types are another type of custom metadata types that store application-specific data that is hidden from subscribers. They are similar to Protected Custom Settings, but they have some advantages such as being deployable using change sets or Metadata API, being accessible by SOQL queries, and being able to reference other metadata types or settings. However, Protected Custom Metadata Types cannot be used to store secrets, because they do not support encryption or masking of sensitive data. Protected Custom Metadata Types are intended to store configuration datathat is specific to your managed package, not secrets that need to be secured.
Therefore, the correct answer is B and D, because Named Credentials and Protected Custom Settings are the only persistence mechanisms that can be used to securely store secretsin Salesforce.
References: 1: Named Credentials | Apex Developer Guide | Salesforce Developers 2: CustomSettings | Apex Developer Guide | Salesforce Developers 3: Encrypted Fields | Salesforce Help : [Protected Custom Metadata Types | ISVforce Guide | Salesforce Developers]
NEW QUESTION # 83
A customer imports data from an external system into Salesforce using Bulk API. These jobs have batch sizes of 2000 and are run in parallel mode. The batch fails frequently with the error "Max CPU time exceeded". A smaller batch size will fix this error.
Which two options should be considered when using a smaller batch size?
Choose 2 answers
Answer: B,C
Explanation:
Explanation
The error "Max CPU time exceeded" occurs when a batch of records takes more than 10 minutes to process in the Bulk API. Using a smaller batch size can reduce the processing time and avoid this error. However, there are some trade-offs to consider when using a smaller batch size, such as:
Answer A is valid because a smaller batch size may cause record-locking errors if multiple batches try to update the same records or records that are related by a lookup or master-detail relationship. This can result in concurrency issues and data inconsistency1 Answer B is valid because a smaller batch size may increase the time required to execute bulk jobs, as more batches need to be created and processed sequentially. This can affect the performance and efficiency of the integration1 Answer C is not valid because a smaller batch size may not exceed the concurrent API request limits, as the Bulk API does not count against the concurrent request limit. The Bulk API has its own limit on the number of batches that can be queued or in progress, which is 5,000 per rolling 24-hour period2 Answer D is not valid because a smaller batch size can trigger "Too many concurrent batches" error only if the number of batches exceeds the limit of 5,000 per rolling 24-hour period. This error is not related to the parallel mode of the Bulk API, which allows up to 10 batches to be processed simultaneously
NEW QUESTION # 84
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