NPTEL Cloud Computing Week 3 Assignment Solution
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Which of the following is least likely to be specified in an operational cloud Service Level Agreement (SLA)?
- A) Recovery Time Objective (RTO)
- B) Exact encryption algorithm and key storage procedures
- C) Mean Time To Repair (MTTR) for incidents
- D) Penalty / credit calculation for downtime
Which level is typically included in a multilevel cloud Service Level Agreement (SLA)?
- A) Corporate/provider-wide obligations
- B) Individual developer employment contracts
- C) Unrelated third-party agreements
- D) Hardware vendor warranties
An enterprise signs a three-tier multilevel SLA with a cloud provider. In case of a service disruption, which level of SLA is the provider legally bound to honor?
- A) Corporate-level SLA
- B) Customer-level SLA
- C) Service-level SLA
- D) The provider can choose the lowest applicable SLA
Which combination of metrics is most commonly included in production cloud SLAs to measure availability and responsiveness?
- A) Uptime percentage and mean time to respond (MTTR)
- B) Developer salary and uptime percentage
- C) IP address range and server timezone
- D) Source-code commit frequency and bug count
A cloud service is guaranteed to handle 10,000 requests/hour with 99.5% success. How many failed requests per hour are acceptable under SLA?
- A) 5
- B) 10
- C) 50
- D) 500
Which feature most clearly distinguishes parallel (analytic) databases from a single-node traditional RDBMS in cloud analytics?
- A) Support for SQL queries
- B) Multi-node parallel query execution with data partitioning
- C) Transaction rollback (ACID) support
- D) Use of normalized schemas only
Which architectural choice is LEAST suitable for real-time analytics on high-velocity IoT streams?
- A) Apache Kafka with Apache Flink
- B) Google Cloud Dataflow
- C) AWS S3 with batch processing using Apache Spark
- D) Azure Event Hubs with Structured Streaming
Which storage choice is most suitable for processing many large video files in parallel?
- A) Managed relational database
- B) Object storage with Hadoop/Spark connector
- C) Single-node block volume
- D) Small in-memory cache
In a MapReduce job, a reducer runs out of disk space during merge. What is the most likely cause and solution?
- A) Inefficient mapper logic
- B) Combiner not executed
- C) Too few reducers causing large merge files
- D) Network saturation
In OpenStack, what is the total number of vCPUs allocatable with a 4.5:1 overcommit on 900 vCPUs?
- A) 4100
- B) 4150
- C) 4050
- D) 4200
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