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NEW QUESTION: 1
A Solutions Architect needs to configure scaling policies based on Amazon CloudWatch metrics for an Auto Scaling group. The application running on the instances is memory intensive.
How can the Architect meet this requirement?
A. Set up high-resolution alarms for the Auto Scaling group
B. Enable detailed monitoring on the Amazon EC2 instances.
C. Publish custom metrics to CloudWatch from the application.
D. Configuration lifecycle policies for the Amazon EC2 instances.
Answer: C

NEW QUESTION: 2
Which of the following would need to be enabled on a mobile phone to share its Internet connection with multiple devices simultaneously?
A. Bluetooth
B. NFC
C. Hotspot
D. Tethering
Answer: C

NEW QUESTION: 3
When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?
A. When the signature of the reduce method matches the signature of the combine method.
B. Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
C. When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.
D. Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
E. Never. Combiners and reducers must be implemented separately because they serve different purposes.
Answer: C
Explanation:
You can use your reducer code as a combiner if the operation performed is commutative and associative.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What are combiners? When should I use a combiner in my MapReduce Job?