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NEW QUESTION: 1
Your company plans to deploy an AI solution that processes IoT data in real-time.
You need to recommend a solution for the planned deployment that meets the following requirements:
Sustain up to 50 Mbps of events without throttling.
Retain data for 60 days.
What should you recommend?
A. Apache Kafka
B. Microsoft Azure Machine Learning
C. Microsoft Azure IoT Hub
D. Microsoft Azure Data Factory
Answer: A
Explanation:
Explanation
Apache Kafka is an open-source distributed streaming platform that can be used to build real-time streaming data pipelines and applications.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/kafka/apache-kafka-introduction
NEW QUESTION: 2
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 servers, app servers, and database backed up weekly to Glacier using 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 and app servers backed up weekly via AMIs, database backed up via DB snapshots.
C. Web servers: store read-only data in S3, and copy from S3 to root volume at boot timeApp 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: A
Explanation:
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.
NEW QUESTION: 3
What is the purpose of the WBS?
A. To show the organizational structure of a program.
B. All of the other alternatives apply
C. To show which work elements have been assigned to organizational units.
D. To ensure that all work within a project is identified and defined within a common framework.
Answer: D
NEW QUESTION: 4
What is the purpose of xfa.event.newText in a dropdown field?
A. Creates a new value within the dropdown field
B. Creates a new text field when selecting 'Other' from the dropdown field
C. To return the difference between the previous value and the new value
D. To return the latest value in the given field
Answer: D