Salesforce Certified Platform Data Architect (Plat-Arch-201) Exam - Topic 10 Question 13 Discussion

Actual exam question for Salesforce's Salesforce Certified Platform Data Architect (Plat-Arch-201) exam

Question #: 13
Topic #: 10

[All Salesforce Certified Platform Data Architect (Plat-Arch-201) Questions]

Northern Trail Outfitters (NTO) has the following systems:

Customer master-source of truth for customer information

Service cloud-customer support

Marketing cloud-marketing support

Enterprise data warehouse---business reporting

The customer data is duplicated across all these systems and are not kept in sync. Customers are also complaining that they get repeated marketing emails and have to call into update their information.

NTO is planning to implement master data management (MDM) solution across the enterprise.

Which three data will an MDM tool solve?

Choose 3 answers

AData completeness

BData loss and recovery

CData duplication

DData accuracy and quality

EData standardization

Show Suggested Answer

Suggested Answer: A

by Caitlin at Jan 11, 2023, 01:32 AM

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Rosio

4 months ago

Data standardization is a must for them!

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Lucina

4 months ago

Not sure if MDM can really solve all those issues.

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Natalie

4 months ago

Surprised they let it get this messy in the first place!

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Ernest

4 months ago

I think it can also improve data accuracy and quality.

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Lawrence

4 months ago

MDM will definitely help with data duplication!

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Claribel

5 months ago

I’m a bit confused about data completeness. I know it’s important, but I’m not sure if MDM directly solves that issue.

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Ettie

5 months ago

I practiced a similar question, and I think data standardization is important too. So maybe option E could be one of the answers as well.

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Vicki

5 months ago

I'm not entirely sure, but I feel like data accuracy and quality could also be a focus for MDM, which might relate to option D.

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Allene

5 months ago

I remember that MDM is really good at addressing data duplication, so I think option C is definitely one of the answers.

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Tresa

5 months ago

This seems straightforward enough. The SQL statement is creating 96 new griddisks, and the question is asking how many failgroups will be added. I'm pretty confident I can figure this out.

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Fallon

5 months ago

This looks like a tricky DNS question. I'll need to carefully review the information provided and think through the different options.

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Tori

5 months ago

I remember practicing a question similar to this, and it was all about businesses getting cash faster by selling their receivables, so I would lean towards option A.

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Katy

5 months ago

I'm a bit confused by this question. Isn't the whole point of Proof of Work to reach consensus? I'll have to review my notes to see if there are any exceptions or limitations to that.

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Valentin

9 months ago

Personally, I'd go with A) Data completeness. Wouldn't want any important customer details slipping through the cracks, am I right? An MDM tool should keep everything nice and tidy.

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Alonzo

8 months ago

So, it seems like A), E), and D) are the top priorities for NTO to address with their MDM solution.

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Afton

8 months ago

I think D) Data accuracy and quality is also key to building trust with customers and making informed business decisions.

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Kiera

8 months ago

I agree, but I also think E) Data standardization is important to ensure consistency across all systems.

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Floyd

8 months ago

Definitely! A) Data completeness is crucial for ensuring all customer information is accurate and up to date.

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Silva

9 months ago

I'm going to have to go with B) Data loss and recovery. You never know when a system might crash, and an MDM tool could help with backing up and restoring the data. Gotta be prepared, you know?

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Reed

8 months ago

D) Data accuracy and quality is crucial for customer satisfaction. With MDM, NTO can ensure that customer information is always up-to-date and correct.

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Lang

8 months ago

I agree with you. C) Data duplication is a big issue for NTO right now. MDM can help eliminate duplicate customer records.

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Bettye

8 months ago

I think E) Data standardization is also important. It will ensure that all systems are using the same format for customer data.

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Providencia

10 months ago

E) Data standardization is also important. Ensuring the data is in a consistent format across the different systems will make it easier to manage and maintain.

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Franchesca

8 months ago

A) Data completeness, C) Data duplication, E) Data standardization

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Iraida

8 months ago

E) Data standardization will definitely help with that issue. It's important to have consistent data across all systems.

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Hannah

9 months ago

A) Data completeness, C) Data duplication, D) Data accuracy and quality

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Willodean

10 months ago

I believe data completeness is also important to solve with an MDM tool. It ensures that all necessary information is available.

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Carline

11 months ago

D) Data accuracy and quality is crucial too. If the customer information is not kept up-to-date, they'll continue to get those annoying repeated marketing emails.

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Serita

9 months ago

D) Data accuracy and quality

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Serita

10 months ago

C) Data duplication

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Serita

10 months ago

A) Data completeness

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Ashton

11 months ago

Definitely C) Data duplication. That's the main issue they're facing with the customer data being duplicated across multiple systems. An MDM tool should help consolidate and sync the data.

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Temeka

9 months ago

Absolutely, E) Data standardization will help maintain data integrity and improve overall data quality.

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Lino

10 months ago

Data standardization is also important to ensure consistency and accuracy across systems.

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Veronica

10 months ago

I agree, having multiple copies of the same data can lead to errors and inconsistencies.

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Fannie

10 months ago

Yes, C) Data duplication is a big problem. It causes confusion and inefficiency.

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Danica

11 months ago

I agree with Eladia. Having a single source of truth for customer data will definitely help with those issues.

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Eladia

11 months ago

I think an MDM tool will solve data duplication, data accuracy and quality, and data standardization.

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