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Exam Cloud Digital Leader topic 1 question 176 discussion

Actual exam question from Google's Cloud Digital Leader
Question #: 176
Topic #: 1
[All Cloud Digital Leader Questions]

An organization has created a medical fitness app and wants to store a very large amount of data about exercise times, activity, and calories burned for later analysis.

Which data management solution should the organization use?

  • A. Data lake
  • B. Data warehouse
  • C. Data field
  • D. Database
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️

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Emma412
Highly Voted 7 months, 1 week ago
Selected Answer: B
I strongly think that B is the correct answer Reasoning: I read an article from Qlik.com that compares DataLake and DataWarehouse. In that i noticed 2 factors that bring out the difference. 1. DataLake better at handling unstructured Data whereas Datawarehouse is better at structured data 2. DataLake shines are real-time analytics and nothing is said about real-time analytics for Datawarehouse. in the given question the data is primarily structured and explicitly mentions that data is required for analysis "Later". hence B should be the correct match/answer.
upvoted 7 times
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kenatepi
Most Recent 3 days, 12 hours ago
Selected Answer: A
I prefer A, since warehouse is not for raw/unprocessed fitness logs
upvoted 1 times
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gyenesge
4 months, 2 weeks ago
Selected Answer: B
Datawarehouse is good for analysis. Datalake is more for storing semistructured data, or data in raw format.
upvoted 2 times
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chai_gpt
4 months, 3 weeks ago
Selected Answer: B
B. Data warehouse is correct. Because the data about exercise times, activity, and calories burned etc. falls under either structured data or semi-structured data which data warhouse (like BigQuery) can handle really well. And it is mentioned in question that data is needed for later analysis. Data warehouse (like BigQuery) can help in this analysis.
upvoted 4 times
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chai_gpt
4 months, 3 weeks ago
B. Data warehouse is correct. Because the data about exercise times, activity, and calories burned etc. falls under either structured data or semi-structured data which data warhouse (like BigQuery) can handle really well. And it is mentioned in question that data is needed for later analysis. Data warehouse (like BigQuery) can help in this analysis.
upvoted 2 times
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__rajan__
5 months, 1 week ago
Selected Answer: A
A. Data lake A data lake is a centralized repository that stores all types of data, including structured, semi-structured, and unstructured data. Data lakes are often used to store large amounts of data for later analysis.
upvoted 1 times
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Kaycee101
6 months, 2 weeks ago
B is the correct answer here
upvoted 2 times
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Dinraj
8 months ago
Selected Answer: B
I would go for B
upvoted 2 times
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inner4444
10 months ago
Selected Answer: A
Based on AI's answer it's A - data lake
upvoted 2 times
inner4444
9 months ago
because the data comes from the fitness app, it's most likely a structured data, I will change my answer to B
upvoted 2 times
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andr31
10 months, 3 weeks ago
Selected Answer: B
The data that the fitness company wants to store is structured and/or semi-structured and there's no mention of BLOBs or anything like that. The answer is B.
upvoted 2 times
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hita97
11 months, 1 week ago
Selected Answer: A
Data warehouse stores transformed data. For storing purpose Data Lake can be used
upvoted 1 times
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Flexip
11 months, 2 weeks ago
Selected Answer: A
An organization that has created a medical fitness app and wants to store a very large amount of data about exercise times, activity, and calories burned for later analysis should use a data lake (A). A data lake is a centralized repository that allows organizations to store all their structured and unstructured data at any scale. Data can be stored in its raw form and can be analyzed later using big data processing tools.
upvoted 4 times
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BTAB
1 year, 1 month ago
Selected Answer: B
Agree on B. Since there is no requirement for semi-structured and unstructured data in raw form, and the data mentioned in the question large amounts of structured data, I would go with Data Warehouse.
upvoted 2 times
CarloGiovanni
10 months, 3 weeks ago
however, all data is structured so a warehouse fits better
upvoted 1 times
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guilhermemls
1 year, 1 month ago
Selected Answer: B
I would choose Data Warehouse as it is a solution to store Big Data and serve it for analytics services. For example, BigQuery has an ML solution embedded on it.
upvoted 2 times
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DPonly
1 year, 2 months ago
option A , as current requirement is storing data
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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