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NEW QUESTION: 1
You want to understand more about how users browse your public website. For example, you want to know which pages they visit prior to placing an order. You have a server farm of 200 web servers hosting your website. Which is the most efficient process to gather these web server across logs into your Hadoop cluster analysis?
A. Write a MapReeeduce job with the web servers for mappers and the Hadoop cluster nodes for reducers
B. Channel these clickstreams into Hadoop using Hadoop Streaming
C. Ingest the server web logs into HDFS using Flume
D. Sample the web server logs web servers and copy them into HDFS using curl
E. Import all user clicks from your OLTP databases into Hadoop using Sqoop
Answer: C
Explanation:
Apache Flume is a service for streaming logs into Hadoop.
Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating,
and moving large amounts of streaming data into the Hadoop Distributed File System (HDFS). It
has a simple and flexible architecture based on streaming data flows; and is robust and fault
tolerant with tunable reliability mechanisms for failover and recovery.
NEW QUESTION: 2
Answer:
Explanation:
Explanation
Box 1: OLE DB Source
Box 2: Conditional split
Box 3: Derived Column
Box 4: Ole DB Destination
Note:
* SQL Server Integration Services provides three different types of data flow components: sources, transformations, and destinations. Sources extract data from data stores such as tables and views in relational databases, files, and Analysis Services databases. Transformations modify, summarize, and clean data.
Destinations load data into data stores or create in-memory datasets.
* The Conditional Split transformation can route data rows to different outputs depending on the content of the data. The implementation of the Conditional Split transformation is similar to a CASE decision structure in a programming language. The transformation evaluates expressions, and based on the results, directs the data row to the specified output.
* The Derived Column transformation creates new column values by applying expressions to transformation input columns. An expression can contain any combination of variables, functions, operators, and columns from the transformation input. The result can be added as a new column or inserted into an existing column as a replacement value.
NEW QUESTION: 3
A. <input id="txtValue" type="country"/>
B. <input id="txtVa!ue" type="text" pattern-" [A-Za-z] {3} "/>
C. <input id="txtValuen type="code" pattern"="country"/>
D. <input id="txtValue" type="text" required="xxx"/>
Answer: B
Explanation:
HTML <input> pattern Attribute
The pattern attribute specifies a regular expression that the <input> element's value is checked against.
Example
An HTML form with an input field that can contain only three letters (no numbers or special characters):
< form action="demo_form.asp">
Country code: <input type="text" name="country_code"
pattern="[A-Za-z]{3}" title="Three letter country code">
< input type="submit">
< /form>
Reference: HTML <input> pattern Attribute
http://www.w3schools.com/tags/att_input_pattern.asp
