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NEW QUESTION: 1
What types of algorithms are difficult to express in MapReduce v1 (MRv1)?
A. Algorithms that require applying the same mathematical function to large numbers of individual binary records.
B. Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
C. Large-scale graph algorithms that require one-step link traversal.
D. Algorithms that require global, sharing states.
E. Relational operations on large amounts of structured and semi-structured data.
Answer: D
Explanation:
See 3) below.
Limitations of Mapreduce - where not to use Mapreduce
While very powerful and applicable to a wide variety of problems, MapReduce is not the
answer to every problem. Here are some problems I found where MapReudce is not suited
and some papers that address the limitations of MapReuce.
1.Computation depends on previously computed values If the computation of a value depends on previously computed values, then MapReduce cannot be used. One good example is the Fibonacci series where each value is summation of the previous two values. i.e., f(k+2) = f(k+1) + f(k). Also, if the data set is small enough to be computed on a single machine, then it is better to do it as a single reduce(map(data)) operation rather than going through the entire map reduce process.
2.Full-text indexing or ad hoc searching The index generated in the Map step is one dimensional, and the Reduce step must not generate a large amount of data or there will be a serious performance degradation. For example, CouchDB's MapReduce may not be a good fit for full-text indexing or ad hoc searching. This is a problem better suited for a tool such as Lucene.
3.Algorithms depend on shared global state Solutions to many interesting problems in text processing do not require global synchronization. As a result, they can be expressed naturally in MapReduce, since map and reduce tasks run independently and in isolation. However, there are many examples of
algorithms that depend crucially on the existence of shared global state during processing, making them difficult to implement in MapReduce (since the single opportunity for global synchronization in MapReduce is the barrier between the map and reduce phases of processing)
Reference: Limitations of Mapreduce - where not to use Mapreduce

NEW QUESTION: 2
You are creating a page that contains detailed employee information for a company portal. The page uses a jQuery library. The page contains a hidden button named btnEdit that is defined by the following code.
<button id="btnEdit" style="display: none;>Edit</button>
The button is not displayed by default.
The button must be displayed only if the user is logged on.
You need to add code to the document.ready() function to meet the requirements for the button.
Which line of code should you use?
A. $ ('#btnEdit').show();
B. $ ('#btnEdit').visible = true;
C. $ ('#btnEdit').appear ();
D. $ ('#btnEdit').Visible();
Answer: A
Explanation:
With jQuery, you can hide and show HTML elements with the hide() and show() methods:
Example
$("#hide").click(function(){
$("p").hide();
});
$("#show").click(function(){
$("p").show();
});
Reference: jQuery Effects - Hide and Show

NEW QUESTION: 3
What is a new and recommended way to work with SQL and SQLScript?
Please choose the correct answer.
A. Create runtime objects rather than design-time objects.
B. Use .procedure files rather than creating SQL and SQLScript via the package context menu.
C. Use CE-functions rather than SQL syntax.
D. Use table functions rather than scripted calculation views.
Answer: D