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Spark is able to achieve linear scaling. What does it mean?
If we increase the memory by two, the speed of operation might double
If we move to quadcore form a single core, the speed of operation might become four times
If we add two more workers to existing four workers, the speed of operation might increase by 50%
All of the above
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1 Adv Spark Programming - Understanding Persistence
2 Spark Programming - RDD caching is used for avoiding re-computation of an RDD:...
3 Spark Programming - With persistence we can replicate the RDD so that spark...
4 Spark Programming - RDD cachng is basically persisting an RDD into the RAM?...
5 Adv Spark Programming - Persistence StorageLevel
6 Spark Programming - The persist() method accepts an argument which is an object...
7 Spark Programming - Say, you are creating an RDD rdd1 after a lot...
8 Spark Programming - Which of the following is not true for MEMORY_AND_DISK_2 storage...
9 Spark Programming - StorageLevel does not specify the following configuration?...
10 Adv Spark Programming - Data Partitioning
11 Adv Spark Programming - Partitioning HandsOn
12 Adv Spark Programming - Data Partitioning Example
13 Spark Programming - Apache Spark's Data partitioning in RDD is useful if...
14 Spark Programming - Which of the following is not true about Data partitioning?...
15 Spark Programming - Which of the following is not an example of default...
16 Spark Programming - We had a key-value RDD having 1 to 10 as...
17 Spark Programming - We had a key-value RDD having 1 to 10 as...
18 Spark Programming - Operations that can not benefit from Partitioning?...
19 Adv Spark Programming - Custom Partitioner
20 Spark Programming - You can create own partitioner?...
21 Adv Spark Programming - Shared Variables
22 Spark Programming - When we pass a function say f to map or...
23 Spark Programming - If we have some data, which of the following is...
24 Spark Programming - If we have some data of few kilobyte size, which...
25 Adv Spark Programming - Accumulators
26 Spark Programming - Accumulators are used for...
27 Spark Programming - Accumulators will give incorrect results in the cases where:...
28 Spark Programming - Which of the use-case is not right for accumulator:...
29 Adv Spark Programming - Custom Accumulators
30 Adv Spark Programming - Broadcast Variables
31 Spark Programming - Broadcast variables are used because...
32 Spark Programming - To share few bytes data with workers we use:...
33 Adv Spark Programming - Broadcast Variables Example
34 Adv Spark Programming - Key Performance Considerations - Parallelism
35 Spark Programming - If you have an RDD with 1000 records. The function...
36 Adv Spark Programming - Key Performance Considerations - Partitions
37 Spark Programming - If we have a text file of 8GB in HDFS...
38 Spark Programming - If we have 1GB data as an array and we...
39 Spark Programming - Which of the following is not right way of controlling...
40 Adv Spark Programming - Serialization Format
41 Spark Programming - Serialization happens when...
42 Spark Programming - Performance of serializer is important because in Spark the serialization...
43 Spark Programming - Which serializer is slowest?...
44 Adv Spark Programming - Memory Management
45 Spark Programming - How much memory is consumed for loading an RDD?...
46 Spark Programming - Spark reserves 20% of memory to shuffle and agregation buffers....
47 Spark Programming - Spark reserves last 20% of memory to code. What does...
48 Adv Spark Programming - Hardware Provisioning
49 Spark Programming - Which of the following hardware parameters do not matter for...
50 Spark Programming - Spark is able to achieve linear scaling. What does it...
51 Spark Programming - Why the memory beyond 64GB is discouraged?...
52 Adv Spark Programming - Slides
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