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NEW QUESTION: 1
View the Exhibit for some of the current parameter settings. A user logs in to the HR schema and
issues the following commands:
SQL> CREATE TABLE emp (empno NUMBER(3), ename VARCHAR2(20), sal NUMBER(8,2));
SQL> INSERT INTO emp(empno,ename) VALUES(1,'JAMES');
At this moment, a second user also logs in to the HR schema and issues the following command:
SQL> ALTER TABLE emp MODIFY sal NUMBER(10,2);
What happens in the above scenario?
Exhibit:

A. The second user's session waits for a time period before producing the resource busy error.
B. The second user's command executes successfully.
C. The second user's session immediately produces the resource busy error.
D. A deadlock is created.
Answer: A

NEW QUESTION: 2
Which two protocols are connection-oriented? (Choose two.)
A. Ethernet
B. UDP
C. PPP
D. TCP
Answer: C,D
Explanation:
Point-to-Point Protocol (PPP) and Transmission Control Protocol (TCP) are a connection- oriented protocols.
References: http://searchnetworking.techtarget.com/definition/connection-oriented

NEW QUESTION: 3
You want to perform analysis on a large collection of images. You want to store this data in HDFS and process it with MapReduce but you also want to give your data analysts and data scientists the ability to process the data directly from HDFS with an interpreted high-level programming language like Python. Which format should you use to store this data in HDFS?
A. HTML
B. SequenceFiles
C. XML
D. Avro
E. JSON
F. CSV
Answer: B
Explanation:
Using Hadoop Sequence Files
So what should we do in order to deal with huge amount of images? Use hadoop sequence files! Those are map files that inherently can be read by map reduce applications - there is an input format especially for sequence files - and are splitable by map reduce, so we can have one huge file that will be the input of many map tasks. By using those sequence files we are letting hadoop use its advantages. It can split the work into chunks so the processing is parallel, but the chunks are big enough that the process stays efficient.
Since the sequence file are map file the desired format will be that the key will be text and hold the HDFS filename and the value will be BytesWritable and will contain the image content of the file.
Reference: Hadoop binary files processing introduced by image duplicates finder