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NEW QUESTION: 1
Anonymizers are the services that help make a user's own Web surfing anonymous. An
anonymizer removes all the identifying information from a user's computer while the user surfs the Internet. It ensures the privacy of the user in this manner. After the user anonymizes a Web access with an anonymizer prefix, every subsequent link selected is also automatically accessed anonymously. Which of the following are limitations of anonymizers?
A. ActiveX controls
B. JavaScript
C. Java applications
D. Plugins
E. Secure protocols
Answer: A,B,C,D,E
Explanation:
xplanation: Anonymizers have the following limitations: 1.HTTPS: Secure protocols such as 'https:' cannot be properly anonymized, as the browser needs to access the site directly to properly maintain the secure encryption. 2.Plugins: If an accessed site invokes a third-party plugin, there is no guarantee of an established independent direct connection from the user computer to a remote site. 3.Java: Any Java application accessed through an anonymizer will not be able to bypass the Java security wall. 4.ActiveX: ActiveX applications have almost unlimited access to the user's computer system. 5.JavaScript: The JavaScript scripting language is disabled with URL-based anonymizers.

NEW QUESTION: 2
Which statement describes the function of the tracking object created by the track 10 ip route
192.168.99.0/24 reachability command?
A. It tracks the reachability of route 192.168.99.0/24.
B. It tracks exactly 10 occurrences of route 192.168.99.0/24.
C. It tracks the summary route 192.168.99.0/24 and all routes contained within.
D. It tracks the line protocol status of the interface on which route 192.168.99.0/24 is received.
Answer: A
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 3


Answer:
Explanation:

Explanation

Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data.
The two view outputs may be joined before presentation
Box 1: Speed
The speed layer processes data streams in real time and without the requirements of fix-ups or completeness.
This layer sacrifices throughput as it aims to minimize latency by providing real-time views into the most recent data.
Box 2: Batch
The batch layer precomputes results using a distributed processing system that can handle very large quantities of data. The batch layer aims at perfect accuracy by being able to process all available data when generating views.
Box 3: Serving
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.