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Microsoft AZ-305 Exam - Topic 4 Question 54 Discussion

Actual exam question for Microsoft's AZ-305 exam
Question #: 54
Topic #: 4
[All AZ-305 Questions]

You have 12 on-premises data sources that contain customer information and consist of Microsoft SQL Server, MySQL, and Oracle databases.

You have an Azure subscription.

You plan to create an Azure Data Lake Storage account that will consolidate the customer information for analysis and reporting.

You need to recommend a solution to automatically copy new information from the data sources to the Data Lake Storage account by using extract, transform and load (ETL). The solution must minimize administrative effort.

What should you include in the recommendation?

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Suggested Answer: A

Contribute your Thoughts:

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Giovanna
3 months ago
Really? I’m surprised it can handle all those sources so easily.
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Hillary
4 months ago
Azure Data Factory has great integration options too!
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Isabelle
4 months ago
I thought Azure Data Share was for sharing data, not ETL?
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Chauncey
4 months ago
Definitely agree, it's built for this kind of task.
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Beckie
4 months ago
Azure Data Factory is the way to go for ETL!
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Caitlin
4 months ago
Azure Data Share sounds familiar, but I think it’s more about sharing data rather than automating ETL tasks.
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Geraldine
5 months ago
I practiced a similar question where Azure Data Factory was the answer for consolidating data from multiple sources.
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Jeanice
5 months ago
I'm not entirely sure, but I think Azure Data Explorer is more for analytics rather than ETL.
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Derrick
5 months ago
I remember studying Azure Data Factory for ETL processes, it seems like the right choice for automating data movement.
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Yesenia
5 months ago
I'm a little confused by the options here. Azure Data Studio is more of a client tool, so I don't think that would be the right solution. I'm leaning towards Azure Data Factory, but I'll need to double-check the capabilities to make sure it meets all the requirements.
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Timothy
5 months ago
Hmm, I'm a bit unsure about this one. Azure Data Explorer and Azure Data Share both seem like they could potentially work, but I'm not sure if they'd be the best fit for the requirements here. I'll have to think this through carefully.
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Beckie
5 months ago
This looks like a classic Azure Data integration scenario. I'd recommend going with Azure Data Factory - it's designed for this exact use case of consolidating data from multiple sources into a data lake.
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Ernie
5 months ago
Azure Data Factory is definitely the way to go here. It's got built-in support for all the data sources mentioned, and the ETL capabilities will make it easy to automate the data consolidation process. Seems like the obvious choice to minimize administrative effort.
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Flo
5 months ago
This seems straightforward to me. The 'E' shows the packet reaching the external interface, and the 'i' shows it leaving the internal interface. I'm pretty confident that's the right answer.
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Jacklyn
5 months ago
Hmm, I'm not too familiar with Citrix ADM, so I'll have to think this through. Let me review the options and see if I can eliminate any that don't seem relevant.
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Shoshana
5 months ago
Tricky question! I'll need to review my notes on infrastructure as code to make sure I don't miss anything important.
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Lorrie
2 years ago
I don't think Azure Data Share is the best choice for this scenario. It's more for sharing data, not ETL.
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Gilma
2 years ago
But what about Azure Data Share? Could that be a potential option as well?
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Ilene
2 years ago
I agree, Azure Data Factory is a great choice for ETL processes.
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Jarvis
2 years ago
I think we should include Azure Data Factory in the recommendation.
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Mignon
2 years ago
I agree, it's the best choice for automating data movement from multiple sources to the Data Lake Storage account.
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Paris
2 years ago
Yes, Azure Data Factory is perfect for ETL processes with minimal administrative effort.
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Shawnda
2 years ago
I think we should include Azure Data Factory in the recommendation.
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Salome
2 years ago
Agreed, let's go with Azure Data Factory for this solution.
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Darrel
2 years ago
I think we have a strong recommendation with Azure Data Factory included.
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Latonia
2 years ago
Definitely, it's a reliable tool for automating data pipelines.
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Cornell
2 years ago
It also has monitoring and scheduling capabilities that can help minimize administrative effort.
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Teddy
2 years ago
I agree, it can easily handle data movement between different sources and the Data Lake Storage account.
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Irma
2 years ago
Yes, Azure Data Factory is a good choice for ETL processes.
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Harrison
2 years ago
A) Azure Data Factory
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