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NEW QUESTION: 1
Your startup wants to implement an order fulfillment process for selling a personalized gadget that needs an average of 3-4 days to produce with some orders taking up to 6 months you expect 10 orders per day on your first day. 1000 orders per day after 6 months and 10,000 orders after 12 months.
Orders coming in are checked for consistency men dispatched to your manufacturing plant for production quality control packaging shipment and payment processing If the product does not meet the quality standards at any stage of the process employees may force the process to repeat a step Customers are notified via email about order status and any critical issues with their orders such as payment failure.
Your case architecture includes AWS Elastic Beanstalk for your website with an RDS MySQL instance for customer data and orders.
How can you implement the order fulfillment process while making sure that the emails are delivered reliably?
A. Use SWF with an Auto Scaling group of activity workers and a decider instance in another Auto Scaling group with min/max=1 use SES to send emails to customers.
B. Use an SQS queue to manage all process tasks Use an Auto Scaling group of EC2
Instances that poll the tasks and execute them. Use SES to send emails to customers.
C. Add a business process management application to your Elastic Beanstalk app servers and re-use the ROS database for tracking order status use one of the Elastic Beanstalk instances to send emails to customers.
D. Use SWF with an Auto Scaling group of activity workers and a decider instance in another Auto Scaling group with min/max=1 Use the decider instance to send emails to customers.
Answer: A
NEW QUESTION: 2
Your company processes high volumes of IoT data that are time-stamped. The total data volume can be several petabytes. The data needs to be written and changed at a high speed.
You want to use the most performant storage option for your data.
Which product should you use?
A. Cloud Bigtable
B. Cloud Storage
C. BigQuery
D. Cloud Datastore
Answer: A
Explanation:
A) is not correct because Cloud Datastore is not the most performant product for frequent writes or timestamp-based queries.
B) is not correct because Cloud Storage is designed for object storage not for this type of data ingestion and collection.
C) is correct because Cloud Bigtable is the most performant storage option to work with IoT and time series data.
D) is not correct because although it can store the data, BigQuery is very slow at changing data.
Reference:
Cloud Bigtable Schema Design for Time Series Data:
https://cloud.google.com/bigtable/docs/schema-design-time-series
NEW QUESTION: 3
Cloud Storageバケットにデータをアーカイブするソリューションを構成する必要があります。ソリューションは費用効果が高くなければなりません。複数のバージョンのデータは30日後にアーカイブする必要があります。以前のバージョンは、レポートのために月に1回アクセスされます。このアーカイブデータは、月末に時々更新されます。あなたは何をするべきか？
A. Add a bucket lifecycle rule that archives data with newer versions after 30 days to Coldline Storage.
B. Add a bucket lifecycle rule that archives data from regional storage after 30 days to Nearline Storage.
C. Add a bucket lifecycle rule that archives data with newer versions after 30 days to Nearline Storage.
D. Add a bucket lifecycle rule that archives data from regional storage after 30 days to Coldline Storage.
Answer: C