効果的なPlat-Arch-201日本語版受験参考書と認定するPlat-Arch-201日本語解説集

時代に対応するために、科学技術は人々の学習方法を向上させると信じています。特にこのようなペースの速い生活テンポでは、効率の高い学習を非常に重視しています。したがって、当社のPlat-Arch-201学習資料は、過去の試験問題と現在の試験の傾向に基づいており、実際の試験環境に配置するためのこのような効果的なシミュレーション機能を設計します。高度なPlat-Arch-201学習教材を備えた高品質のシミュレーションシステムを提供することをお約束します。シミュレーション機能により、Plat-Arch-201トレーニングガイドの理解が容易になり、Plat-Arch-201試験に合格できます。

Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Modeling/Database Design	25%	- Describe the considerations when designing a data model for Salesforce - Describe the options and considerations for Large Data Volumes (LDV) - Explain the usage of external objects - Describe the implications of LDV on data modeling
Topic 2: Salesforce Data Management	25%	- Describe the implications of LDV on data management - Describe the considerations for data governance - Describe the considerations for data archival - Describe the considerations for data migration
Topic 3: Data Governance	10%	- Describe the considerations for data quality - Describe the considerations for data classification - Describe the elements of a data governance framework
Topic 4: Master Data Management	5%	- Describe the considerations for a Master Data Management strategy - Describe the methods for aligning data across systems
Topic 5: Data Migration	15%	- Describe the implications of data migration on data quality - Describe the considerations for data migration - Describe the tools and best practices for data migration
Topic 6: Large Data Volumes	20%	- Describe the considerations for Large Data Volumes (LDV) - Describe the features and best practices for LDV - Describe the implications of LDV on data modeling

>> Plat-Arch-201日本語版受験参考書 <<

便利Plat-Arch-201｜素晴らしいPlat-Arch-201日本語版受験参考書試験｜試験の準備方法Salesforce Certified Platform Data Architect日本語解説集

業界の他の製品とは対照的に、Plat-Arch-201テストガイドの合格率は非常に高く、多くのユーザーが確認しています。 Plat-Arch-201試験トレーニングを使用している限り、試験に合格することができます。試験に合格しなかった場合は、全額返金されます。 Plat-Arch-201学習ガイドは、あなたと一緒に進歩し、彼ら自身の将来のために協力することを望んでいます。 Salesforce Certified Platform Data Architect試験トレーニングガイドの合格率も高いため、努力が必要です。 Plat-Arch-201テストガイドを選択した場合、一緒にこの高い合格率に貢献できると思います。

Salesforce Certified Platform Data Architect 認定 Plat-Arch-201 試験問題 (Q151-Q156):

質問 # 151
Universal Containers has a requirement to store more than 100 million records in salesforce and needs to create a custom big object to support this business requirement. Which two tools should a data architect use to build custom object?

A. Go to Big Object in setup select new to create big object.
B. Use DX to create big object.
C. Go to Object Manager in setup and select new to create big object.
D. Use Metadata API to create big object.

正解：A、D

解説：
To build a custom big object to support storing more than 100 million records in Salesforce, a data architect should use Metadata API or Big Object in setup. Metadata API is an API that allows developers to create, retrieve, update, or delete metadata components in Salesforce programmatically. Big Object in setup is a user interface that allows admins to create big objects declaratively without writing code. Both tools can be used to define custom big objects and their fields, indexes, and relationships in Salesforce.

質問 # 152
A large retail company has recently chosen SF as its CRM solution. They have the following record counts:
- 2500000 accounts
- 25000000 contacts
When doing an initial performance test, the data architect noticed an extremely slow response for reports and list views.
What should a data architect do to solve the performance issue?

A. Limit data loading to the 2000 most recently created records.
B. Create a skinny table to represent account and contact objects.
C. Load only the data that the users is permitted to access
D. Add custom indexes on frequently searched account and contact objects fields

正解：D

解説：
The correct answer is B, add custom indexes on frequently searched account and contact object fields. Custom indexes are a way to improve the performance of your queries and reports by creating indexes on specific fields that are often used in filters or joins. By adding custom indexes on frequently searched account and contact object fields, you can speed up the response time for reports and list views. Loading only the data that users are permitted to access, limiting data loading to the 2000 most recent records, or creating a skinny table are also possible solutions, but they are either not feasible, not scalable, or not supported by Salesforce.

質問 # 153
What is an advantage of using Custom metadata type over Custom setting?

A. Custom metadata records are not copied from production to sandbox.
B. Custom metadata records are deployable using packages.
C. Custom metadata records are editable in Apex.
D. Custom metadata types are available for reporting.

正解：B

解説：
Custom metadata records are deployable using packages, which makes them easier to migrate from one environment to another. Custom settings records are not deployable using packages, and they are copied from production to sandbox. Custom metadata types are not available for reporting, and custom metadata records are not editable in Apex.

質問 # 154
Universal Containers (UC) has an Application custom object, which has tens of millions of records created in the past 5 years. UC needs the last 5 years of data to exist in Salesforce at all times for reporting and queries. UC is currently encountering performance issues when reporting and running queries on this Object using date ranges as filters. Which two options can be used to improve report performance?

A. Ask support to create a skinny table for Application with the necessary reporting fields.
B. Add custom indexes to the Date fields used for filtering the report.
C. Add custom indexes to all fields on Application without a standard index.
D. Run multiple reports to get different pieces of the data and combine them.

正解：A、B

解説：
Ask support to create a skinny table for Application with the necessary reporting fields. This is an option that can improve report performance by creating a custom table that contains frequently used fields and copies their values from standard or custom objects. Skinny tables are kept in sync with their source tables and are used in place of them for reports and queries. Add custom indexes to the Date fields used for filtering the report. This is another option that can improve report performance by creating custom indexes on fields that are often used as filters or join conditions in reports and queries. Custom indexes can speed up data retrieval and reduce query execution time

質問 # 155
To avoid creating duplicate Contacts, a customer frequently uses Data Loader to upsert Contact records into Salesforce. What common error should the data architect be aware of when using upsert?

A. Errors with records being updated and inserted in the same CSV file.
B. Errors with using the wrong external Id will cause the load to fail.
C. Errors with duplicate external Id values within the same CSV file.
D. Errors when a duplicate Contact name is found cause upsert to fail.

正解：C

解説：
Data Loader uses external Id fields to match records in the CSV file with records in Salesforce during an upsert operation. If the CSV file contains duplicate external Id values within the same file, Data Loader will throw an error saying "Duplicate Id Specified" and will not process those records. Therefore, it is important to ensure that the CSV file does not have any duplicate external Id values before using Data Loader to upsert records.

質問 # 156
......

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