Salesforce Plat-Arch-201 Tests & Plat-Arch-201 Prüfungsvorbereitung

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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Master Data Management	5%	- Golden record and system of truth 1. Establishing single source of truth in single org - MDM implementation approaches 1. Harmonization, consolidation, survivorship rules and thresholds 2. Canonical modeling and hierarchy management
Topic 2: Data Integration	20%	- Integration patterns and technologies 1. Synchronous vs asynchronous, batch vs real-time 2. APIs, middleware and external systems integration - External data sources 1. External Objects, OData and virtual data access - Data synchronization and consistency 1. Conflict resolution, data consistency and idempotency
Topic 3: Data Migration	15%	- Data quality and validation 1. Cleaning, deduplication and post-migration verification - Migration execution and tools 1. Data loader, ETL tools and bulk API usage - Migration strategy and planning 1. Assessment, mapping, validation and rollback planning
Topic 4: Large Data Volumes and Performance	20%	- Storage and scalability planning 1. Data volume growth planning and storage limits - Query and performance optimization 1. Indexing, selective queries and avoiding performance bottlenecks - LDV architecture design 1. Data distribution, archiving and partitioning strategies
Topic 5: Data Governance, Quality and Security	15%	- Data governance framework 1. Policies, standards, ownership and stewardship - Data quality management 1. Profiling, monitoring, cleansing and enrichment - Data security and compliance 1. Access control, encryption, compliance and audit
Topic 6: Data Modeling and Database Design	25%	- Object type selection 1. Standard/custom objects vs Big Objects: use cases, pros and cons - Data skew prevention 1. Avoid record locking, sharing issues and excessive parent-child relationships - Data model design for Customer 360 1. Objects, fields, relationships and object features 2. Scalable design aligned with security and sharing model - Metadata management 1. Business dictionary, data lineage, taxonomy and classification

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Plat-Arch-201 Prüfungsvorbereitung - Plat-Arch-201 Lernressourcen

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Salesforce Certified Platform Data Architect Plat-Arch-201 Prüfungsfragen mit Lösungen (Q16-Q21):

16. Frage
An architect has been asked to provide error messages when a future date is detected in a custom Birthdate _c field on the Contact object. The client wants the ability to translate the error messages. What are two approaches the architect should use to achieve this solution? Choose 2 answer

A. Create a validation rule and translate the error message with translation workbench.
B. Create a workflow field update to set the standard ErrorMessage field.
C. Create a trigger on Contact and add an error to the record with a custom label.
D. Implement a third -party validation process with translate functionality.

Antwort: A,C

Begründung:
Creating a trigger on Contact and adding an error to the record with a custom label allows the architect to use the translation workbench to translate the error message based on the user's language. Creating a validation rule and translating the error message with translation workbench also achieves the same result. The other options would either not provide translation functionality or not display an error message

17. Frage
Universal Containers has more than 10 million records in the Order_c object. The query has timed out when running a bulk query. What should be considered to resolve query timeout?

A. PK Chunking
B. Tooling API
C. Streaming API
D. Metadata API

Antwort: A

Begründung:
PK Chunking can resolve query timeout when running a bulk query on an object with more than
10 million records. PK Chunking is a feature of the Bulk API that splits a query into multiple batches based on the record IDs (primary keys) of the queried object. This can improve the query performance and avoid timeouts by reducing the number of records processed in each batch.

18. Frage
Universal Containers (UC) has a very large and complex Salesforce org with hundreds of validation rules and triggers. The triggers are responsible for system updates and data manipulation as records are created or updates by users. A majority of the automation tool within UC'' org were not designed to run during a data load. UC is importing 100,000 records into Salesforce across several objects over the weekend. What should a data architect do to mitigate any unwanted results during the import?

A. Ensure validation rules, triggers and other automation tools are disabled.
B. Ensure duplication and matching rules and defined.
C. Bulkily the trigger to handle import leads.
D. Import the data in smaller batches over a 24-hour period.

Antwort: A

Begründung:
Ensuring validation rules, triggers and other automation tools are disabled is the best way to mitigate any unwanted results during the import, as it prevents any errors or conflicts that may occur due to the existing logic. Ensuring duplication and matching rules are defined may not be sufficient or relevant for preventing unwanted results. Importing the data in smaller batches over a
24-hour period may not be necessary or efficient. Bulkifying the trigger to handle import leads may not be possible or desirable if the triggers were not designed to run during a data load.

19. Frage
Universal Containers (UC) uses the following Salesforce products:
- Sales Cloud for customer management.
- Marketing Cloud for marketing.
- Einstein Analytics for business reporting.
UC occasionally gets a list of prospects from third-party source as comma-separated values (CSV) files for marketing purposes. Historically, UC would load contact Lead object in Salesforce and sync to Marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing process.
What should a data architect recommend to UC in order to immediately avoid storage issues in the future?

A. Load the contacts directly to Marketing Cloud and have a reconciliation process to track prospects that are converted to customers.
B. Load the CSV files in Einstein Analytics and sync with Marketing Cloud prior to sending marketing communications;
C. Load the CSV files in an external database and sync with Marketing Cloud prior to sending marketing communications.
D. Continue to use the existing process to use Lead object to sync with Marketing Cloud and delete Lead records from Sales after the sync is complete.

Antwort: A

Begründung:
According to the Salesforce documentation, Marketing Cloud is a platform that allows creating and managing marketing campaigns across multiple channels, such as email, mobile, social media, web, etc. Marketing Cloud can integrate with Sales Cloud and other Salesforce products to share data and insights. One of the ways to integrate Marketing Cloud with Sales Cloud is using Marketing Cloud Connect, which allows syncing data between the two platforms using synchronized data sources.
However, if UC occasionally gets a list of prospects from third-party sources as CSV files for marketing purposes, it may not be necessary or efficient to load them into Sales Cloud first and then sync them with Marketing Cloud. This can consume large amounts of storage in Sales Cloud, which has a limit based on the license type. It can also cause data quality issues, such as duplicates or outdated information.
A better option for UC is to load the contacts directly to Marketing Cloud using Import Definition, which allows importing data from external files or databases into Marketing Cloud data extensions. Data extensions are custom tables that store marketing data in Marketing Cloud. This way, UC can avoid storage issues in Sales Cloud and optimize the marketing process by sending marketing communications directly from Marketing Cloud.
To track prospects that are converted to customers, UC can have a reconciliation process that compares the contacts in Marketing Cloud with the accounts or contacts in Sales Cloud. This can be done using SQL queries or API calls to access and compare data from both platforms.
Alternatively, UC can use Marketing Cloud Connect to sync the converted contacts from Sales Cloud to Marketing Cloud using synchronized data sources.

20. Frage
Northern Trail Outfitters has these simple requirements for a data export process:
- File format should be in CSV.
- Process should be scheduled and run once per week.
- The expert should be configurable through the Salesforce UI.
Which tool should a data architect leverage to accomplish these requirements?

A. Data export wizard
B. Bulk API
C. Third-party ETL tool
D. Data loader

Antwort: A

Begründung:
The correct answer is B, data export wizard. The data export wizard is a tool that allows you to export your data in CSV format, schedule the export process to run once per week, and configure the export settings through the Salesforce UI. The data export wizard can handle up to 51 million records per export. The bulk API, third-party ETL tools, and data loader are also tools that can export data, but they are not as simple or user-friendly as the data export wizard.

21. Frage
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