amazon oa2 work simulation – 亚马逊OA2 work simulation

Task1

Rate the effectiveness of each action below as if it were your next step.

ActionNot at all EffectiveSlightly EffectiveModerately EffectiveVery EffectiveExtremely Effective
Create a proof of concept system to test.
Clarify requirements with stakeholders.
Write fundamental library code.
Create a database schema.
Schedule a meeting with the design team.

chatgpt 建议选择:
Create a proof of concept system to test.
Slightly Effective
Clarify requirements with stakeholders.
Extremely Effective
Write fundamental library code.
Not at all Effective to Slightly Effective
Create a database schema.
Very Effective
Schedule a meeting with the design team.
Moderately Effective

Task2

You and other engineers on the team are tasked with developing a real-time voting service for a new Amazon Prime singing show - Amazon Voice. The final show is scheduled to take place 5 weeks from now. At the end of the show, there will be a 5-minute voting block where all votes are tabulated.

From: Ming, Product Manager Subject: Amazon Voice - Meeting Notes
Hey team,
Thanks again for joining the meeting this morning. Based on our discussion, the system needs to operate under the following conditions:
The voting result is updated every second within the 5-minute voting period.
Customers are allowed to review and update their votes until the voting is closed.
The system needs to handle millions of customers voting at the same time during the 5-minute voting block.
The system needs to remain available during the voting period.
Ming

Below are vote storage strategies you could use given the requirements from the product manager’s email. Rate the effectiveness of each strategy.

StrategyNot at all EffectiveSlightly EffectiveModerately EffectiveVery EffectiveExtremely Effective
Key-value database - used for storing key value pairs in a distributed manner (e.g., Amazon DynamoDB, Redis, or Cassandra).
Document database - used for storing JSON documents (e.g., MongoDB, Azure CosmosDB, CouchDB).
Graph database - used for storing data with complex relationships (e.g., Amazon Neptune, Neo4J, or Tiger DB).
Ledger database - store using an append-only record journal (e.g., Amazon QLDB).
Distributed data processing system - Apache Hadoop/Spark to process tracking data.

chatgpt 建议选择:Database Strategy Effectiveness Ratings Summary:
  1. Key-value database

  2. Purpose: Distributed key-value storageRating: Extremely Effective
  3. Document database
  4. Purpose: Storing JSON documentsRating: Moderately Effective
  5. Graph database
  6. Purpose: Storing complex relationshipsRating: Not at all Effective
  7. Ledger database
  8. Purpose: Append-only record journalRating: Slightly Effective
  9. Distributed data processing system
  10. Purpose: Processing tracking dataRating: Slightly Effective

Task3

Email 1:

From: New Project Alert
Subject: Overview - Inventory Management System

Your team is building a new inventory management system that is going to be offered as a SaaS product (Software-as-a-Service).
Select the NEXT button to start the new project.


Email 2:

Hi,

The product owner has finalized requirements for the inventory management system. We need to architect a system to support these requirements. I'm hoping you can help with this effort.

Stansilov

Task:

Rate the effectiveness of each action below as if it were your next step.

ActionNot at all EffectiveSlightly EffectiveModerately EffectiveVery EffectiveExtremely Effective
Set up time to discuss the requirements with the product owner.
Sketch together a high-level diagram.
Set up an operational dashboard of metrics, alarms, and documentation.
Develop a proof of concept with your team and senior engineers to test the key system constructs.
Prepare and host a system-level architecture review.

chatgpt建议

  1. Set up time to discuss the requirements with the product owner.
    • Extremely Effective
  2. Sketch together a high level diagram.
    • Very Effective
  3. Set up an operational dashboard of metrics, alarms, and documentation.
    • Moderately Effective
  4. Develop a proof of concept with your team and senior engineers to test the key system constructs.
    • Extremely Effective
  5. Prepare and host a system-level architecture review.
    • Very Effective

Task4

Email:

Your team is building a new inventory management system that is going to be offered as a SaaS product (Software-as-a-Service).


Kate (Software Development Engineer):

Hey - I've been asked to develop a solution to provide image thumbnails of inventory items. I've identified a few potential storage options, but I was hoping to hear your thoughts on each.


Task:

Below are image storage options you could use. Rate the effectiveness of each option.

OptionNot at all EffectiveSlightly EffectiveModerately EffectiveVery EffectiveExtremely Effective
Flat/file store.
Relational database.
Key-value data store.
Elastic search.
Cloud file store.

chatgpt建议:

  1. Write a script that can be manually run to fix any unresponsive servers.
    • Moderately Effective
  2. Ensure that we have the ability to add more servers as needed to respond to demand.
    • Extremely Effective
  3. Conduct a load test and ensure that the results are analyzed thoroughly.
    • Very Effective
  4. Configure the database to run automated daily backups.
    • Moderately Effective
  5. Increase the logging level to include debugging messages.
    • Slightly Effective
  6. Move local/regional settings into a configuration service.
    • Very Effective

Task5

Email 1:

From: New Project AlertSubject: Overview - Traffic Video Service

Amazon is building a traffic video service for a large metro environment. Individual traffic cameras will send updates to the central service based on physical capabilities, limitations, and configurations. Due to variable volume, message queuing is planned, so it's necessary to design and support an appropriate message format.

Select the NEXT button to start the new project.

Email 2:

From: Na’imah, Software Development ManagerSubject: Welcome - system requirements

Hey,

I’m happy you have joined us for this effort. Our team is responsible for developing the first version of the product for the messaging system. Here are the requirements from the product manager:

  • A versioning system for message formats.
  • Binary data de/serialization system for individual components within messages.
  • Support for messages with different purposes.
  • Message timestamps and checksums.

I am eager to hear the actions you think we should take to meet these requirements.

Na’imah

Task:

Below are actions you could take to meet the requirements. Rate the priority of each action

ActionNot at all a PriorityLow PriorityMedium PriorityHigh PriorityEssential
Identify dashboards and graphs to assess system performance.
Determine how the queue is configured to handle the exceptions.
Research industry standard message formats.
List the purposes messages will serve.

chatgpt建议:

  1. Identify dashboards and graphs to assess system performance.
    • High Priority
  2. Determine how the queue is configured to handle the exceptions.
    • Essential
  3. Research industry standard message formats.
    • Medium Priority
  4. List the purposes messages will serve.
    • Essential

Task6

Email:

Amazon is building a traffic video service for a large metro environment. Individual traffic cameras will send updates to the central service based on physical capabilities, limitations, and configurations. Due to variable volume, message queuing is planned, so it's necessary to design and support an appropriate message format.


Anne (Principal Software Development Engineer):

Hey - some of the data these traffic cameras produce can be quite large, and the customer wants to transmit these messages to the service. I have a few ideas on how we could do this, but I’m interested in hearing your thoughts.


Task:

Below are approaches you could take to transmit large messages to the service. Rate the effectiveness of each approach.

ApproachNot at all EffectiveSlightly EffectiveModerately EffectiveVery EffectiveExtremely Effective
Use different message types to transmit the request metadata and large data.
Fragment the large data into multiple messages.
Develop a streaming protocol for large messages.
Develop a cadence to send large messages during low volume time.
Physically download large messages from each location.

chatgpt建议:

  1. Use different message types to transmit the request metadata and large data.
    • Very Effective
  2. Fragment the large data into multiple messages.
    • Extremely Effective
  3. Develop a streaming protocol for large messages.
    • Extremely Effective
  4. Develop a cadence to send large messages during low volume times.
    • Moderately Effective
  5. Physically download large messages from each location.
    • Not at all Effective

Task7

Email:

Amazon is building a traffic video service for a large metro environment. Individual traffic cameras will send updates to the central service based on physical capabilities, limitations, and configurations. Due to variable volume, message queuing is planned, so it's necessary to design and support an appropriate message format.


From: Robert, Software Development Engineer
Subject: Service Issue

Hey there,

We were just notified that the service experienced an issue where messages were dropped. We need to monitor for message drops and make our system more resilient in the future. I'm interested in hearing your thoughts on how we can do this.

Robert


Task:

Below are options that could make the system more resilient. Rate the effectiveness of each option.

OptionNot at all EffectiveSlightly EffectiveModerately EffectiveVery EffectiveExtremely Effective
Add a dead letter queue to handle failure messages.
Review the retry configuration from the queue.
Increase message storage time as a redundancy measure.
Use a time-to-live configuration to store the successfully processed messages.
Use another queue to store the successfully processed messages.

chatgpt建议:

  1. Add a dead letter queue to handle failure messages.
    • Extremely Effective
  2. Review the retry configuration from the queue.
    • Very Effective
  3. Increase message storage time as a redundancy measure.
    • Moderately Effective
  4. Use a time-to-live configuration to store the successfully processed messages.
    • Slightly Effective
  5. Use another queue to store the successfully processed messages.
    • Slightly Effective

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