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NEW QUESTION: 1
The department of transportation for a major metropolitan area has placed sensors on roads at key locations around the city. The goal is to analyze the flow of traffic and notifications from emergency services to identity potential issues and to help planners correct trouble spots. A data engineer needs a scalable and fault-tolerant solution that allows planners to respond to issues within 30 seconds of their occurrence.
Which solution should the data engineer choose?
A. Collect the sensor data with Amazon SQS and store in Amazon DynamoDB for analysis.
Collect emergency services events with Amazon Kinesis Firehouse and store in Amazon Redshift for analysis
B. Collect the sensor data with Amazon Kinesis Firehose and store it in Amazon Redshift for analysis.
Collect emergency services events with Amazon SQS and store in Amazon DynamoDB for analysis
C. Collect both sensor data and emergency services events with Amazon Kinesis Streams and use Amazon DynamoDB for analysis
D. Collect both sensor data and emergency services events with Amazon Kinesis Firehouse and use Amazon Redshift for Analysis
Answer: B

NEW QUESTION: 2
Sie müssen eine Sicherungslösung für App1 implementieren, nachdem die Anwendung verschoben wurde.
Was solltest du zuerst erstellen?
A. Ein Recovery Services-Tresor
B. ein Wiederherstellungsplan
C. eine Sicherungsrichtlinie
D. ein Azure Backup-Server
Answer: A
Explanation:
Explanation
A Recovery Services vault is a logical container that stores the backup data for each protected resource, such as Azure VMs. When the backup job for a protected resource runs, it creates a recovery point inside the Recovery Services vault.
Scenario:
There are three application tiers, each with five virtual machines.
Move all the virtual machines for App1 to Azure.
Ensure that all the virtual machines for App1 are protected by backups.
References: https://docs.microsoft.com/en-us/azure/backup/quick-backup-vm-portal

NEW QUESTION: 3
A 3-Ber e-commerce web application is currently deployed on-premises, and will be migrated to AWS for greater scalability and elasticity. The web tier currently shares read-only data using a network distributed file system. The app server tier uses a clustering mechanism for discovery and shared session state that depends on IP multicast. The database tier uses shared-storage clustering to provide database failover capability, and uses several read slaves for scaling. Data on all servers and the distributed file system directory is backed up weekly to off-site tapes.
Which AWS storage and database architecture meets the requirements of the application?
A. Web servers: store read-only data in S3, and copy from S3 to root volume at boot time.
App servers:
share state using a combination of DynamoDB and IP unicast.
Database: use RDS with multi-AZ deployment and one or more Read Replicas.
Backup: web and app servers backed up weekly via AMIs, database backed up via DB snapshots.
B. Web servers: store read-only data in S3, and copy from S3 to root volume at boot time.
App servers: share state using a combination of DynamoDB and IP unicast.
Database: use RDS with multi-AZ deployment and one or more read replicas.
Backup: web servers, app servers, and database backed up weekly to Glacier using snapshots.
C. Web servers: store read-only data in S3, and copy from S3 to root volume at boot time.
App servers:
share state using a combination of DynamoDB and IP unicast.
Database: use RDS with multi-AZ deployment.
Backup: web and app servers backed up weekly via AMIs, database backed up via DB snapshots.
D. Web servers: store read-only data in an EC2 NFS server, mount to each web server at boot time.
App servers: share state using a combination of DynamoDB and IP multicast.
Database: use RDS with multi- AZ deployment and one or more Read Replicas.
Backup: web and app servers backed up weekly via AMIs, database backed up via DB snapshots.
Answer: B
Explanation:
https://d0.awsstatic.com/whitepapers/Storage/AWS%20Storage%20Services%20Whitepaper- v9.pdf Amazon Glacier doesn't suit all storage situations. Listed following are a few storage needs for which you should consider other AWS storage options instead of Amazon Glacier.
Data that must be updated very frequently might be better served by a storage solution with lower read/write latencies, such as Amazon EBS, Amazon RDS, Amazon DynamoDB, or relational databases running on EC2.

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