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Salesforce Data-Architect Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Data Architect Exam
Exam Number:Data-Architect
Related Certifications:Salesforce Certified Integration Architect
Salesforce Certified Platform App Builder
Salesforce Certified Platform Developer I
Salesforce Certified Platform Developer II
Salesforce Certified Sharing and Visibility Architect
Available Languages:French, Spanish, English, Portuguese, Japanese, German
Exam Duration:105 minutes
Real Exam Qty:60
Passing Score:58%
Exam Price:$400 USD
Exam Format:Multiple Select, Multiple Choice
Certificate Validity Period:1 year (maintenance required annually via Trailhead certification maintenance)
Recommended Training:Salesforce Architect Trailmix
Salesforce Data Architecture and Management
Exam Registration:Salesforce Architect Credentials Overview
Salesforce Certification Registration
Sample Questions:Salesforce Data-Architect Sample Questions
Exam Way:Online proctored exam or authorized testing center
Pre Condition:No mandatory prerequisites. Recommended: experience with Salesforce platform architecture and related certifications such as Platform Developer I, Platform App Builder, and Integration Architect.
Official Syllabus URL:https://trailhead.salesforce.com/en/credentials/architectdatam

>> Data-Architect Zertifizierungsfragen <<

Data-Architect Trainingsunterlagen & Data-Architect Fragen Beantworten

Die Salesforce Data-Architect Prüfung zu bestehen ist eigentlich nicht leicht. Trotzdem ist die Zertifizierung nicht nur ein Beweis für Ihre IT-Fähigkeit, sondern auch ein weltweit anerkannter Durchgangsausweis. Auf Salesforce Data-Architect vorzubereiten darf man nicht blindlings. Die Technik-Gruppe von uns ITZert haben die Prüfungssoftware der Salesforce Data-Architect nach der Mnemotechnik entwickelt. Sie kann mit vernünftiger Methode Ihre Belastungen der Vorbereitung auf Salesforce Data-Architect erleichtern.

Die Zertifizierungsprüfung zum Salesforce Data-Architect ist eine anspruchsvolle, aber lohnende Prüfung, die die Expertise des Kandidaten in der Datenarchitektur und -verwaltung auf der Salesforce-Plattform validiert. Die Zertifizierung wird in der Branche sehr geschätzt und ist ein wertvolles Asset für jeden, der seine Karriere im Salesforce-Ökosystem vorantreiben möchte. Mit der CDA-Zertifizierung können Fachleute ihre Kompetenz in der Salesforce-Datenarchitektur und -verwaltung demonstrieren und sich für fortgeschrittene Zertifizierungen wie die Application-Architect- und System-Architect-Zertifizierungen qualifizieren.

Salesforce Certified Data Architect Data-Architect Prüfungsfragen mit Lösungen (Q55-Q60):

55. Frage
Universal Container (US) is replacing a home-grown CRM solution with Salesforce, UC has decided to migrate operational (Open and active) records to Salesforce, while keeping historical records in legacy system, UC would like historical records to be available in Salesforce on an as needed basis.
Which solution should a data architect recommend to meet business requirement?

Antwort: B

Begründung:
According to the Using Mashups article on Salesforce Developers, one of the techniques for deploying large data volumes is to use mashups to display historical records in Salesforce. The article states that "Mashups are a way to display data from an external system within a Salesforce page without copying or synchronizing the data. Mashups use a combination of Visualforce, Apex callouts, and JavaScript code that runs in the browser. Mashups are useful when you want to display large amounts of read-only data that is stored outside of Salesforce." Therefore, a data architect should recommend this solution to meet the business requirement of UC.


56. Frage
Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW.
What data extraction strategy should a data architect use for maximum performance?

Antwort: D

Begründung:
According to the Salesforce documentation2, extracting large amounts of data from Salesforce can be challenging and time-consuming, as it can encounter performance issues, API limits, timeouts, etc. To extract
100 million records from Salesforce for migration to an enterprise data warehouse (EDW), a data extraction strategy that can provide maximum performance is:
Utilize PK Chunking with the Bulk API (option C). This means using a feature that allows splitting a large query into smaller batches based on the record IDs (primary keys) of the queried object. This can improve performance and avoid timeouts by processing each batch asynchronously and in parallel using the Bulk API3.
Installing a third-party AppExchange tool (option A) is not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle such a large volume of data efficiently. Calling the REST API in successive queries (option B) is also not a good solution, as it can encounter API limits and performance issues when querying such a large volume of data. Using the Bulk API in parallel mode (option D) is also not a good solution, as it can still cause timeouts and errors when querying such a large volume of data without chunking.


57. Frage
Northern Trail Outfitters (NTO) wants to start a loyalty program to reward repeat customers. The program will track every item a customer has bought and grants them points for discounts. The following conditions will exist upon implementation:
Data will be used to drive marketing and product development initiatives.
NTO estimates that the program will generate 100 million rows of date monthly.
NTO will use Salesforce's Einstein Analytics and Discovery to leverage their data and make business and marketing decisions.
What should the Data Architect do to store, collect, and use the reward program data?

Antwort: D

Begründung:
According to the official Salesforce guide1, big objects are designed to store and manage massive data volumes within Salesforce without affecting performance. They can be queried by using Async SOQL or standard SOQL, and they can be accessed by using Apex, Visualforce, Lightning components, or APIs. Big objects are ideal for storing data that is used for analytics or reporting purposes, such as the reward program data. Option A is the correct answer because it allows NTO to create a custom big object in Salesforce that can store the reward program data and make it available for consumption by Einstein Analytics and Discovery. Option B is incorrect because Einstein cannot connect directly to the point of sales system to capture the reward program data. Option C is incorrect because Einstein Analytics does not support creating big objects. Option D is incorrect because custom objects are not suitable for storing large volumes of data.


58. Frage
North Trail Outfitters (NTD) is in the process of evaluating big objects to store large amounts of asset data from an external system. NTO will need to report on this asset data weekly.
Which two native tools should a data architect recommend to achieve this reporting requirement?

Antwort: A,D


59. Frage
Cloud Kicks currently has a Public Read/Write sharing model for the company's Contacts. Cloud Kicks management team requests that only the owner of a contact record be allowed to delete that contact.
What should an Architect do to meet these requirements?

Antwort: C

Begründung:
Checking if the current user is NOT the owner by creating a "before delete" trigger can meet the requirement of allowing only the owner of a contact record to delete that contact. A trigger is a piece of Apex code that can execute before or after a record is inserted, updated, deleted, or undeleted. A "before delete" trigger can prevent the deletion of a record by using the addError() method.


60. Frage
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