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Amazon SAA-C03 Exam - Topic 4 Question 44 Discussion

A company has one million users that use its mobile app. The company must analyze the data usage in near-real time. The company also must encrypt the data in near-real time and must store the data in a centralized location in Apache Parquet format for further processing.Which solution will meet these requirements with the LEAST operational overhead?
A) Create an Amazon Kinesis data stream to store the data in Amazon S3. Create an Amazon Kinesis Data Analytics application to analyze the data. Invoke an AWS Lambda function to send the data to the Kinesis Data Analytics application.
B) Create an Amazon Kinesis data stream to store the data in Amazon S3. Create an Amazon EMR cluster to analyze the data. Invoke an AWS Lambda function to send the data to the EMR cluster.
C) Create an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Create an Amazon EMR cluster to analyze the data.
D) Create an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Create an Amazon Kinesis Data Analytics application to analyze the data

Amazon SAA-C03 Exam - Topic 4 Question 44 Discussion

Actual exam question for Amazon's SAA-C03 exam
Question #: 44
Topic #: 4
[All SAA-C03 Questions]

A company has one million users that use its mobile app. The company must analyze the data usage in near-real time. The company also must encrypt the data in near-real time and must store the data in a centralized location in Apache Parquet format for further processing.

Which solution will meet these requirements with the LEAST operational overhead?

Show Suggested Answer Hide Answer
Suggested Answer: A

A: How do you protect your data in transit?

Best Practices:

Implement secure key and certificate management: Store encryption keys and certificates securely and rotate them at appropriate time intervals while applying strict access control; for example, by using a certificate management service, such as AWS Certificate Manager (ACM).

Enforce encryption in transit: Enforce your defined encryption requirements based on appropriate standards and recommendations to help you meet your organizational, legal, and compliance requirements.

Automate detection of unintended data access: Use tools such as GuardDuty to automatically detect attempts to move data outside of defined boundaries based on data classification level, for example, to detect a trojan that is copying data to an unknown or untrusted network using the DNS protocol.

Authenticate network communications: Verify the identity of communications by using protocols that support authentication, such as Transport Layer Security (TLS) or IPsec.

https://wa.aws.amazon.com/wat.question.SEC_9.en.html


by Altha at Sep 08, 2024, 09:39 PM

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Aleisha
9 months ago
I think A might be a solid option too, just saying!
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Rebbecca
9 months ago
EMR clusters are heavy, I’d stick with Kinesis for this.
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Loise
10 months ago
Wait, can Firehose really handle that much data?
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Jina
10 months ago
I agree, Kinesis Data Firehose is super efficient!
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Antonio
10 months ago
Option D seems like the best choice for low overhead!
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Beata
10 months ago
I’m a bit confused about the differences between Kinesis Data Streams and Firehose. I think Firehose might be easier to manage, but I’m not entirely sure.
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Noah
11 months ago
I practiced a similar question where we had to choose between Kinesis and EMR, and I feel like Kinesis Data Firehose could simplify things with less operational overhead.
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Rosio
11 months ago
I think Kinesis Data Analytics is specifically designed for real-time analysis, which might make option D the best choice, but I need to double-check the encryption part.
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Salina
11 months ago
I remember Kinesis Data Firehose is great for streaming data and can handle encryption automatically, but I'm not sure if it fits all the requirements.
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Elizabeth
11 months ago
Option B with Kinesis data streams, EMR, and Lambda could also work, but I'm not sure if it would have less operational overhead than option C. I'll need to think this through a bit more.
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Dan
11 months ago
I'm leaning towards option A. Using Kinesis data streams, Kinesis Data Analytics, and Lambda seems like a good way to get the data processed and analyzed efficiently.
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Tijuana
11 months ago
Option D looks promising to me. Kinesis Data Firehose and Kinesis Data Analytics seem like they could handle the near-real-time data processing and storage requirements pretty well.
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Alyssa
11 months ago
This looks like a pretty straightforward question. I think I'll go with option C - it seems to cover all the requirements with the least operational overhead.
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Shaunna
11 months ago
Hmm, I'm a bit confused by the different AWS services mentioned here. I'll need to review the details of each one to make sure I understand which one is the best fit.
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Altha
11 months ago
Plugins are a key part of ServiceNow, so I feel confident I can tackle this. I'll focus on the key characteristics of plugins to determine the correct answers.
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Janey
11 months ago
I'm torn between environmental and social—both seem relevant, but I lean towards environmental since it directly addresses resource use.
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Jess
1 year ago
Option C? More like Option 'See ya, operational overhead!' Boom, problem solved!
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Blondell
1 year ago
Definitely, Option C will help streamline the process and minimize operational overhead.
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Ira
1 year ago
I agree, Option C seems like the most efficient solution for analyzing and storing data in near-real time.
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Vicente
1 year ago
Option C sounds like the best choice for reducing operational overhead.
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Glendora
1 year ago
Option C is the clear winner here. It's like using a sledgehammer to crack a nut with the other options. Keep it simple, folks!
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Rolland
1 year ago
Yeah, Option C is the clear winner in terms of meeting the requirements with the least operational overhead.
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Arminda
1 year ago
I agree, Option C seems like the most straightforward and low-maintenance choice.
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Hermila
1 year ago
Option C is definitely the way to go. It's the most efficient solution for sure.
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Silvana
1 year ago
I'm not sure why you'd use Kinesis Data Analytics when you can just use EMR for the analysis. Option C is the way to go, in my opinion.
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Shaun
1 year ago
I agree with Sage. Option C looks like the simplest and most efficient solution. The Firehose delivery stream will handle the near-real-time encryption and storage, and the EMR cluster can handle the analysis.
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Martina
1 year ago
I agree, the Firehose delivery stream and EMR cluster will handle everything with minimal operational overhead.
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Torie
1 year ago
Option C is definitely the way to go. It's the most efficient solution.
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Sage
1 year ago
Option C seems like the most straightforward solution. Using Kinesis Data Firehose to store the data in S3 and then an EMR cluster for analysis seems like a good way to meet the requirements with minimal overhead.
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Paris
1 year ago
Using Kinesis Data Firehose to store the data in S3 and then an EMR cluster for analysis seems like a good way to meet the requirements with minimal overhead.
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Winfred
1 year ago
Option C seems like the most straightforward solution.
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Christiane
1 year ago
That's a good point, but I still think option A is more suitable for meeting the requirements with the least operational overhead.
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Mabel
1 year ago
I disagree, I believe option D is better as it uses Amazon Kinesis Data Firehose delivery stream which can handle the data storage efficiently.
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Christiane
1 year ago
I think option A is the best choice because it involves using Amazon Kinesis Data Analytics application for analyzing the data in near-real time.
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