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NEW QUESTION: 1
You have user profile records in your OLPT database, that you want to join with web logs you have already ingested into the Hadoop file system. How will you obtain these user records?
A. Ingest with Hadoop Streaming
B. Hive LOAD DATA command
C. Pig LOAD command
D. Ingest with Flume agents
E. HDFS command
F. Sqoop import
Answer: C
Explanation:
Apache Hadoop and Pig provide excellent tools for extracting and analyzing data
from very large Web logs.
We use Pig scripts for sifting through the data and to extract useful information from the Web logs.
We load the log file into Pig using the LOAD command.
raw_logs = LOAD 'apacheLog.log' USING TextLoader AS (line:chararray);
Note 1:
Data Flow and Components
*Content will be created by multiple Web servers and logged in local hard discs. This content will then be pushed to HDFS using FLUME framework. FLUME has agents running on Web servers; these are machines that collect data intermediately using collectors and finally push that data to HDFS.
*Pig Scripts are scheduled to run using a job scheduler (could be cron or any sophisticated batch job solution). These scripts actually analyze the logs on various dimensions and extract the results. Results from Pig are by default inserted into HDFS, but we can use storage implementation for other repositories also such as HBase, MongoDB, etc. We have also tried the solution with HBase (please see the implementation section). Pig Scripts can either push this data to HDFS and then MR jobs will be required to read and push this data into HBase, or Pig scripts can push this data into HBase directly. In this article, we use scripts to push data onto HDFS, as we are showcasing the Pig framework applicability for log analysis at large scale.
*The database HBase will have the data processed by Pig scripts ready for reporting and further slicing and dicing.
*The data-access Web service is a REST-based service that eases the access and integrations with data clients. The client can be in any language to access REST-based API. These clients could be BI- or UI-based clients.
Note 2:
The Log Analysis Software Stack
*Hadoop is an open source framework that allows users to process very large data in parallel. It's based on the framework that supports Google search engine. The Hadoop core is mainly divided into two modules:
1.HDFS is the Hadoop Distributed File System. It allows you to store large amounts of data using
multiple commodity servers connected in a cluster.
2.Map-Reduce (MR) is a framework for parallel processing of large data sets. The default implementation is bonded with HDFS.
*The database can be a NoSQL database such as HBase. The advantage of a NoSQL database is that it provides scalability for the reporting module as well, as we can keep historical processed data for reporting purposes. HBase is an open source columnar DB or NoSQL DB, which uses HDFS. It can also use MR jobs to process data. It gives real-time, random read/write access to very large data sets -- HBase can save very large tables having million of rows. It's a distributed database and can also keep multiple versions of a single row.
*The Pig framework is an open source platform for analyzing large data sets and is implemented as a layered language over the Hadoop Map-Reduce framework. It is built to ease the work of developers who write code in the Map-Reduce format, since code in Map-Reduce format needs to be written in Java. In contrast, Pig enables users to write code in a scripting language.
*Flume is a distributed, reliable and available service for collecting, aggregating and moving a large amount of log data (src flume-wiki). It was built to push large logs into Hadoop-HDFS for further processing. It's a data flow solution, where there is an originator and destination for each node and is divided into Agent and Collector tiers for collecting logs and pushing them to destination storage.
Reference: Hadoop and Pig for Large-Scale Web Log Analysis
NEW QUESTION: 2
You are developing a Windows Presentation Foundation (WPF) application by using Microsoft .NET Framework 4 and Microsoft Visual Studio 2010.
The application will run in a partially trusted sandbox.
You plan to deploy the application on client computers by using the ClickOnce deployment technology. You plan to sign the deployment and application manifest by using a trusted publisher certificate.
You need to ensure that the following requirements are met:
Users are not prompted for elevated permissions during application deployment.
The application can request elevated permissions at runtime.
Where should you install the trusted publisher certificate?
A. in the trusted root store on the deployment server
B. in the trusted root store on each client computer
C. in the trusted publisher store on each client computer
D. in the trusted publisher store on the deployment server
Answer: C
NEW QUESTION: 3
An employee ensures all cables are shielded, builds concrete walls that extend from the true floor to the true ceiling and installs a white noise generator. What attack is the employee trying to protect against?
A. Object reuse
B. Wiretaping
C. Emanation Attacks
D. Social Engineering
Answer: C
Explanation:
Explanation : Emanation attacks are the act of intercepting electrical signals that radiate from computing equipment. There are several countermeasures including shielding cabling, white noise, control zones, and TEMPEST equipment (this is a Faraday cage around the equipment) The following answers were incorrect:
Social Engineering: Social Engineering does not involve hardware. A person make use of his/her social skills in order to trick someone into revealing information they should not disclose. Object Reuse: It is related to the reuse of storage medias. One must ensure that the storage media has been sanitized properly before it would be reuse for other usage. This is very important when computer equipment is discarded or given to a local charity organization. Ensure there is no sensitive data left by degaussing the device or overwriting it multiple times. Wiretapping: It consist of legally or illegally taping into someone else phone line to eavesdrop on their communication.
The following reference(s) were/was used to create this question: Shon Harris AIO 4th Edition
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