rusrushal13 · June 29, 2018 05:32 · Sep 21, 2016 · Sep 21, 2016 · Sep 21, 2016 · Sep 21, 2016
diff --git a/DISTRIBUTEDC.md b/DISTRIBUTEDC.md
@@ -93,4 +93,45 @@ Question 13: MapReduce provides the following benefits:
 Question 14: What is the difference between the Combiner function and 
              Reduce function?
 
-   `b)  Output of combiner function is written to intermediate file and Reduce function to output file`
+   `b)  Output of combiner function is written to intermediate file and Reduce function to output file`
+
+## Remote Procedure Call (RPC)
+
+1. An RPC (remote procedure call) is initiated by the:
+   `client`
+
+2. RPC works between two processes. These processes may be:
+   `On the same computer and a different computer connected with a network.`
+
+
+## Client and Server
+
+1. The local operating system on the server machine passes the incoming packets to the:
+   `Server stub`
+
+
+## Distributed Objects
+
+1. _____is a framework for distributed objects on the Microsoft platform.
+   `DCOM`
+
+2. ____ is a framework for distributed objects using Borland Delphi.
+   `DDObject`
+
+3. ____  is a framework for distributed components using a messaging paradigm.
+   `Jt`
+
+4. ____ is a Sun specification for a distributed, shared memory.
+   `JavaSpaces`
+
+
+## Map Reduce
+
+1. ____ is a framework for distributed objects using the Python programming language.
+   `Pyro`
+
+2. The reduce function typically outputs a smaller set than what is input to it.
+   `True`
+
+3. If there are M partitions of the input, there are M map workers running simultaneously. True or False?
+   `False`
diff --git a/DISTRIBUTEDC.md b/DISTRIBUTEDC.md
@@ -2,97 +2,95 @@
 1. Map/Reduce Library partitions the input data into M 
    pieces of typically 16-64 MB.
 
-   True.
+   `True.`
 
 2. If there are M partitions of the input, there are M map workers 
    running simultaneously.
 
-   False. There are generally less worker nodes than partitions.
+   `False. There are generally less worker nodes than partitions.`
 
 
 3. Reduce function accepts intermediate key and a set of values for that 
    key  and merges together these values to form possibly a smaller set 
    of values.
 
-   True.
+   `True.`
 
 4. Map and Reduce are user defined functions 
 
-   True.
+   `True.`
 
 5. MapReduce is a restricted programming model?
 
-   True.
+   `True.`
 
-Following are multiple Choice Questions.
+
+### Following are multiple Choice Questions.
 
 Question 1: Which of the following functions of cloud computing is 
             optimized by MapReduce?
 
-           e) All of the Above
+          ` e) All of the Above`
       
 Question 2: The value of R,  the number of Reduce workers, is determined by 
 
-     b)  master program - number of partitions are defined by user though 
+     `b)  master program - number of partitions are defined by user though `
 
 Question 3: In Map Reduce function, what can be said about the input key, 
             output key and the intermediate key values?
 
-   C. The input keys are drawn from a different domain as output keys and 
-      the intermediate keys are drawn from the same domain as output keys.
+  `C. The input keys are drawn from a different domain as output keys and the intermediate keys are drawn from the same domain as output keys.`
 
 Question 4: What is the relationship between intermediate keys and 
             intermediate value?
-   A  1:N
+   `A  1:N`
 
 Question 5: Which of the following Key/Value pair is used by Map function 
             in Map Reduce?
 
-  b)   (k1, v1)-->  List(k2 , v2)
+ ` b)   (k1, v1)-->  List(k2 , v2)`
 
 Question 6: How is the intermediate Key/Value pair  arranged and processed 
             during partition of tasks?
 
-   a)  Key/value pairs are processed in increasing key order
+   `a)  Key/value pairs are processed in increasing key order`
 
 Question 7: Which is the reduce function in the example of Distributed Grep:
 
-   c) Copy the intermediate data to output
+  ` c) Copy the intermediate data to output`
 
 Question 8: Which is the reduce function in the example of Text indexing?
 
-   d) none of the above - count document IDs for each word
+   `d) none of the above - count document IDs for each word`
 
 Question 9: Which of the following properties of Worker Machine is stored 
             by MapReduce?
 
-   a)  State
-   b)  Identity
+   `a)  State ` 
+   `b) Identity`
 
 Question 10: Map is phased in M pieces and Reduce is phased into R pieces. 
             What is the maximum number of scheduling operations required 
             to be performed?
 
-    b)  O(M+R)
+    `b)  O(M+R)`
 
 Question 11: How is the network bandwidth  maintained by Map Reduce in 
              cloud computing?
 
-   a)  Data is stored locally on disks on different machines with 
-       64 MB blocks
+   `a)  Data is stored locally on disks on different machines with 64 MB blocks`
 
 Question 12: How MapReduce environment handle failures?
 
-   b)  Master worker pings the client worker regularly to check the status
+   `b)  Master worker pings the client worker regularly to check the status`
 
 Question 13: MapReduce provides the following benefits:
 
-   a)  Reducing the amount of data sent across the network
-   b)  Optimization the data by storing it locally
-   c)  Redundant execution to handle machine failures and data loss
+   `a)  Reducing the amount of data sent across the network`
+   `b)  Optimization the data by storing it locally`
+   `c)  Redundant execution to handle machine failures and data loss`
 
 Question 14: What is the difference between the Combiner function and 
              Reduce function?
 
-   b)  Output of combiner function is written to intermediate file and 
-       Reduce function to output file
+   `b)  Output of combiner function is written to intermediate file and Reduce function to output file`
diff --git a/DISTRIBUTEDC.md b/DISTRIBUTEDC.md
@@ -9,6 +9,7 @@
 
    False. There are generally less worker nodes than partitions.
 
+
 3. Reduce function accepts intermediate key and a set of values for that 
    key  and merges together these values to form possibly a smaller set 
    of values.

diff --git a/distributed.md → DISTRIBUTEDC.md b/distributed.md → DISTRIBUTEDC.md
diff --git a/distributed.md b/distributed.md
@@ -1,4 +1,4 @@
-## Map Reduce
+##Map Reduce
 1. Map/Reduce Library partitions the input data into M 
    pieces of typically 16-64 MB.
 

diff --git a/distributed.md b/distributed.md
@@ -1,3 +1,4 @@
+## Map Reduce
 1. Map/Reduce Library partitions the input data into M 
    pieces of typically 16-64 MB.
 

diff --git a/distributed.md b/distributed.md
@@ -0,0 +1,96 @@
+1. Map/Reduce Library partitions the input data into M 
+   pieces of typically 16-64 MB.
+
+   True.
+
+2. If there are M partitions of the input, there are M map workers 
+   running simultaneously.
+
+   False. There are generally less worker nodes than partitions.
+
+3. Reduce function accepts intermediate key and a set of values for that 
+   key  and merges together these values to form possibly a smaller set 
+   of values.
+
+   True.
+
+4. Map and Reduce are user defined functions 
+
+   True.
+
+5. MapReduce is a restricted programming model?
+
+   True.
+
+Following are multiple Choice Questions.
+
+Question 1: Which of the following functions of cloud computing is 
+            optimized by MapReduce?
+
+           e) All of the Above
+
+Question 2: The value of R,  the number of Reduce workers, is determined by 
+
+     b)  master program - number of partitions are defined by user though 
+
+Question 3: In Map Reduce function, what can be said about the input key, 
+            output key and the intermediate key values?
+
+   C. The input keys are drawn from a different domain as output keys and 
+      the intermediate keys are drawn from the same domain as output keys.
+
+Question 4: What is the relationship between intermediate keys and 
+            intermediate value?
+   A  1:N
+
+Question 5: Which of the following Key/Value pair is used by Map function 
+            in Map Reduce?
+
+  b)   (k1, v1)-->  List(k2 , v2)
+
+Question 6: How is the intermediate Key/Value pair  arranged and processed 
+            during partition of tasks?
+
+   a)  Key/value pairs are processed in increasing key order
+
+Question 7: Which is the reduce function in the example of Distributed Grep:
+
+   c) Copy the intermediate data to output
+
+Question 8: Which is the reduce function in the example of Text indexing?
+
+   d) none of the above - count document IDs for each word
+
+Question 9: Which of the following properties of Worker Machine is stored 
+            by MapReduce?
+
+   a)  State
+   b)  Identity
+
+Question 10: Map is phased in M pieces and Reduce is phased into R pieces. 
+            What is the maximum number of scheduling operations required 
+            to be performed?
+
+    b)  O(M+R)
+
+Question 11: How is the network bandwidth  maintained by Map Reduce in 
+             cloud computing?
+
+   a)  Data is stored locally on disks on different machines with 
+       64 MB blocks
+
+Question 12: How MapReduce environment handle failures?
+
+   b)  Master worker pings the client worker regularly to check the status
+
+Question 13: MapReduce provides the following benefits:
+
+   a)  Reducing the amount of data sent across the network
+   b)  Optimization the data by storing it locally
+   c)  Redundant execution to handle machine failures and data loss
+
+Question 14: What is the difference between the Combiner function and 
+             Reduce function?
+
+   b)  Output of combiner function is written to intermediate file and 
+       Reduce function to output file