SAP P_SAPEA_2023 Exam - Topic 3 Question 25 Discussion

Actual exam question for SAP's P_SAPEA_2023 exam

Question #: 25
Topic #: 3

[All P_SAPEA_2023 Questions]

A custom web application developed with SAPUI5 and running on SAP Business Technology Platform uses large custom data objects deployed in a central data store (SAP HANA Cloud). The solution architect of the application is unsure about which tools to use for integration of this data from different SAP Sources into the central data store and asks you as the Enterprise Architect for guidance. Under which conditions is a data-oriented integration approach (Data Integration) preferable to other integration styles?

AThe data objects are built with data from different SAP and non-SAP sources that change infrequently and are available from REST and Message APIs (event-driven systems).

BIf the data objects are built with data from different SAP and non-SAP sources that can be structured and unstructured, change with high frequency, and need to be cleansed, correlated and partly newly calculated.

CIf the data objects are built with data from different SAP and non-SAP sources that can be structured and unstructured, change with high frequency, and need to be newly calculated.

Show Suggested Answer

Suggested Answer: A, C

Starting with the current processeswill help to understand the capabilities that are needed in a new application. This will help to narrow down the field of potential applications and identify those that are most likely to meet the needs of Wanderlust.

Mapping business capabilities to these processeswill help to identify the gaps in the current capabilities and the areas where improvement is needed. This will help to ensure that the new application meets the needs of Wanderlust and addresses the issues plaguing the existing application.

Relating Wanderlust processes to industry standard processeswill help to identify applications that are already being used by other organizations. This can be a good way to ensure that the new application is compatible with other systems and that it can be easily integrated with existing systems.

The other two options, Comparing the costs of those market leading online marketing applications and Understanding the features of leading online marketing applications available in the market through product demonstrations and ranking the applications in terms of features, are not as critical at this stage. The costs of the applications can be compared once the shortlist of applications has been finalized. The features of the applications can be understood through product demonstrations once the shortlist has been finalized.

Therefore, the best course of action is to start with the current processes, map business capabilities to these processes, and identify which application(s) in the market can deliver such capabilities. This will help to narrow down the field of potential applications and identify those that are most likely to meet the needs of Wanderlust.

Here are some of the benefits of taking a process-centric approach to selecting a new marketing application:

It can help to ensure that the new application meets the needs of the business.

It can help to identify applications that are already being used by other organizations.

It can help to ensure that the new application is compatible with other systems and that it can be easily integrated with existing systems.

by Malika at Aug 03, 2024, 01:02 PM

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Rebbecca

3 months ago

Wait, are we sure about using data integration for high-frequency changes? Sounds risky.

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Andrew

3 months ago

Totally agree with A, less hassle with infrequent changes!

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Eliz

3 months ago

C looks good too, but what about the unstructured data part?

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Gabriele

4 months ago

I think B is more accurate since it mentions cleansing and correlation.

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Stephaine

4 months ago

Option A seems solid for infrequent changes.

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Julieta

4 months ago

I’m not completely confident, but I recall that data-oriented integration is often preferred when dealing with structured and unstructured data.

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Luis

4 months ago

I practiced a similar question, and I think option C could be right if we're focusing on high-frequency changes and recalculating data.

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Sylvie

4 months ago

I'm a bit unsure, but I feel like option B might be more relevant if the data changes frequently and needs cleansing.

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Cherry

5 months ago

I remember discussing data integration approaches in class, and I think option A makes sense for infrequent changes and REST APIs.

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Markus

5 months ago

This is a good question that really gets at the heart of integration strategies. Based on the information provided, I think Option B is the best answer. The high frequency of changes and the need for data cleansing and correlation are exactly the kind of conditions that would make a data-oriented approach the most appropriate.

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Sina

5 months ago

I'm a bit confused by the wording of the options. They all seem to mention different data characteristics, but I'm not sure how to weigh the importance of each factor. I'll need to re-read the question and options carefully to make sure I understand the nuances.

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Ernie

5 months ago

Okay, I think I've got a handle on this. The key is to identify the characteristics of the data sources and how frequently the data changes. Option B seems to describe the conditions that would make a data-oriented approach preferable.

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Corinne

5 months ago

This looks like a tricky question. I'll need to think carefully about the different integration approaches and the conditions that would make a data-oriented approach preferable.

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Joaquin

5 months ago

Hmm, the question is asking about the conditions for a data-oriented integration approach, but the options seem to cover a range of different scenarios. I'll need to analyze each one closely to determine which best fits the description.

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Zita

5 months ago

Hmm, I'm a bit confused by the wording here. I'll need to make sure I understand what "best-practice" Anti Spyware profile means and how that relates to preventing command and control traffic.

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Brittney

9 months ago

Option B, for sure. Who doesn't love a good data challenge? Bring on the unstructured data, the frequent changes, and the cleansing - this is where data integration shines!

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Yan

8 months ago

Definitely! Data integration is the way to go when dealing with diverse data sources that require cleansing, correlation, and frequent updates. It's the best approach for maintaining data quality.

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Tonette

8 months ago

I agree! Data integration is essential for handling complex data from various sources. It allows for cleansing, correlation, and calculation to ensure data accuracy and consistency.

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Ciara

9 months ago

Absolutely! Data integration is key when dealing with structured and unstructured data that changes frequently. It's all about cleansing and correlating to ensure accuracy.

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Maryann

9 months ago

Option B, for sure. Who doesn't love a good data challenge? Bring on the unstructured data, the frequent changes, and the cleansing - this is where data integration shines!

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Val

10 months ago

Option B is the way to go! High-frequency changes, diverse data sources, and the requirement for cleansing and calculation - that's a job for data integration, no doubt.

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Ashley

10 months ago

I'd go with Option B. Handling structured and unstructured data from multiple sources, along with frequent changes and the need for cleansing and correlation, definitely calls for a data-oriented integration approach.

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Keneth

9 months ago

Definitely, a data-oriented integration approach is essential when dealing with complex data objects that require frequent changes and various transformations. Option B provides the necessary capabilities for this integration.

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Rory

9 months ago

I agree, Option B covers all the necessary aspects for handling the data objects effectively. It's important to have the ability to cleanse, correlate, and calculate the data as needed.

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Odette

9 months ago

Option B seems like the best choice for this scenario. Structured and unstructured data from various sources that change frequently require a data-oriented integration approach.

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Colby

10 months ago

Option C looks like the most suitable choice, as the data objects have varied sources, high-frequency changes, and need to be newly calculated. Sounds like a perfect use case for a data integration approach.

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Whitney

9 months ago

User 3: It's important to have a solution that can handle structured and unstructured data, especially when it needs to be cleansed and recalculated.

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Amie

9 months ago

User 2: Definitely, with the data objects coming from different sources and needing frequent updates, a data integration approach makes sense.

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Francesco

9 months ago

User 1: I agree, option C seems like the best choice for this scenario.

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Hyun

11 months ago

I'm not sure, but I think option A could also work if the data doesn't change often.

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Casandra

11 months ago

The data-oriented approach seems appropriate for Option B, where the data objects have different sources, change frequently, and require cleansing, correlation, and calculation. Seems like a good fit for SAP HANA Cloud's capabilities.

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