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Adobe AD0-E602 Exam - Topic 1 Question 12 Discussion

A Real-Time CDP Business Practitioner has composed a schema and a dataset has been created that references that schema. Data is then ingested and stored in the Data Lake.Which Platform service is the best place to analyze the data to support different use cases?
A) Query Services
B) Data Science Workspace
C) Catalog Service
D) Real-time Customer Profile

Adobe AD0-E602 Exam - Topic 1 Question 12 Discussion

Actual exam question for Adobe's AD0-E602 exam
Question #: 12
Topic #: 1
[All AD0-E602 Questions]

A Real-Time CDP Business Practitioner has composed a schema and a dataset has been created that references that schem

a. Data is then ingested and stored in the Data Lake.

Which Platform service is the best place to analyze the data to support different use cases?

Show Suggested Answer Hide Answer
Suggested Answer: A

According to the Adobe documentation, Query Services is the best platform service to analyze the data to support different use cases. Query Services enables users to query data stored in the Data Lake using SQL or Spark SQL. Query Services also supports various data formats, such as Parquet, CSV, JSON, or Avro. Query Services can be used for various use cases, such as data exploration, data validation, data transformation, data visualization, or data export. Reference: https://experienceleague.adobe.com/docs/experience-platform/query/home.html?lang=en#query-service-overview


by Jettie at Nov 26, 2023, 06:20 PM

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Stefan
10 months ago
Not sure if Query Services is the best option, honestly.
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Lasandra
10 months ago
Real-time Customer Profile seems too specific for general analysis.
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Carmen
10 months ago
Wait, why would anyone choose Catalog Service for analysis?
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Yolando
10 months ago
I think Data Science Workspace could be useful too.
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Kris
11 months ago
Query Services is definitely the way to go for analysis!
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Valentin
11 months ago
Real-time Customer Profile sounds relevant, but I feel like it’s more focused on customer insights rather than general data analysis.
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Fallon
11 months ago
Catalog Service seems more about organizing data rather than analyzing it, so I’m leaning towards Query Services too.
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Karol
11 months ago
I’m not entirely sure, but I remember something about the Data Science Workspace being more for modeling rather than direct analysis.
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Emily
11 months ago
I think Query Services might be the right choice since it’s designed for analyzing data directly from the Data Lake.
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Tuyet
11 months ago
I'm leaning towards the Real-time Customer Profile service. Since the data is related to customer information, that service might be able to provide the most relevant insights. But I'll need to double-check the capabilities.
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Carlee
11 months ago
The Catalog Service could be a good option, since it helps manage and discover the data in the Data Lake. But I'm not sure if it has the full analytical capabilities we need here.
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Jose
11 months ago
Hmm, I'm a little unsure about this one. I know the Data Science Workspace is good for advanced analytics, but I'm not sure if that's the best fit for this particular use case. I'll have to think it through a bit more.
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Anjelica
11 months ago
I think the best option here is Query Services. That service is designed for analyzing data in the Data Lake, so it seems like the most appropriate choice.
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Denny
12 months ago
This question seems straightforward, but I want to make sure I understand the key differences between incident management and problem management. I'll need to review my notes to refresh my memory on the specifics.
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Allene
12 months ago
Hmm, this looks like an EMI calculation problem. I'll first calculate the total loan amount.
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Adell
12 months ago
D seems a bit too simple, I don't think clicking the Account Center portlet would be the right way to access case tickets submitted by other users. I'm leaning more towards A or B.
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Delisa
12 months ago
Okay, I've got this. The key is to take the total demand over the 4 periods and divide by the number of periods to get the production rate per period. Let me double-check the numbers, but I'm confident I can get the right answer.
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