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2 years ago

All of the following are reserved keywords in C++ EXCEPT

Computers and Technology

1 answer:

Flura [38]2 years ago

8 0

Answer:

e. tryorfail

Explanation:

Following are reserved keywords in C++:

this - A reference to the current object

friend - Used to designate a friend class which has special access privileges for members of the class

class - A keyword used for defining a C++ class

for - Looping construct in C++

tryorfail is not a valid keyword in C++. The relevant keyword is try for exception handling.

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Why do companies collect information about consumers? A. Because they want to meet new friends on social networks B. Because the

Charra [1.4K]

Answer:

C. Because they want to effectively advertise to consumers.

Explanation:

Companies collect info for more accurate advertisements, which are designed to make people interact with them more commonly.

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2 years ago

The discipline of building hardware architectures, operating systems, and specialized algorithms for running a program on a clus

kondaur [170]

The discipline of building hardware architectures, operating systems, and specialized algorithms for running a program on a cluster of processors is known as <u>parallel computing.</u>

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<h3>What is Parallel Computing?</h3>

Parallel computing refers to the process of breaking down larger problems into smaller, independent, often similar parts that can be executed simultaneously by multiple processors communicating via shared memory, the results of which are combined upon completion as part of an overall algorithm. The primary goal of parallel computing is to increase available computation power for faster application processing and problem solving.

<h3>Types of parallel computing</h3>

There are generally four types of parallel computing, available from both proprietary and open source parallel computing vendors:

Bit-level parallelism: increases processor word size, which reduces the quantity of instructions the processor must execute in order to perform an operation on variables greater than the length of the word.
Instruction-level parallelism: the hardware approach works upon dynamic parallelism, in which the processor decides at run-time which instructions to execute in parallel; the software approach works upon static parallelism, in which the compiler decides which instructions to execute in parallel.
Task parallelism: a form of parallelization of computer code across multiple processors that runs several different tasks at the same time on the same data.
Superword-level parallelism: a vectorization technique that can exploit parallelism of inline code.

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1 year ago

How do I insert a row in between 1 and 2 in excel?

Vlada [557]

This link should help: https://uhasct.com/insert-an-empty-row-between-each-row-of-data-in-excel/

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2 years ago

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Which of these is NOT a sign that someone might be drunk

earnstyle [38]

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what are the signs someone would or would not be drunk

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3 years ago

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Research 3 distributions that utilize the big data file systems approaches, and summarize the characteristics and provided funct

OlgaM077 [116]

Answer:

Explanation:

1: The three most popular data systems that make use of Big Data file systems approach are:

The HDFS (Hadoop Distributed File System), Apache Spark, and Quantcast File System(QFS).

HDFS is the most popular among these and it makes use of the MapReduce algorithm to perform the data management tasks. It can highly tolerate faults and can run on low-cost hardware. It was written in Java and it is an open-source software.

Apache Spark makes use of Resilient Distributed Data (RDD) protocol. It is much faster and lighter than the HDFS and it can be programmed using a variety of languages such as Java, Scala, Python, etc. Its main advantage over HDFS is that it is highly scalable.

While QFS was developed as an alternative to the HDFS and it is also highly fault-tolerant and with space efficient. It makes use of the Reed-Solomon Error Correction technique to perform the task of data management.

2: The NewSQL databases were developed as a solution to the scalability challenges of the monolithic SQL databases. They were designed to allow multiple nodes in the context of an SQL database without affecting the replication architecture. It worked really well during the starting years of the cloud technology. Some of the databases that make use of New SQL technology are Vitess, Citus, etc.

Vitess was developed as an automatic sharding solution to the MySQL. Every MySQL instance acts as a shard of the overall database and each of these instances uses standard MySQL master-slave replication to ensure higher availability.

While, Citus is a PostgreSQL equivalent of the Vitess. It ensures transparent sharding due to which it accounts for horizontal write scalability to PostgreSQL deployments.

NoSQL database technology was developed to provide a mechanism for the storage and retrieval of data that is modeled in a way other than the tabular relations used in the traditional databases (RDBMS). The most popular database that makes use of the NoSQL technology is MongoDB. It functions as a cross-platform document-oriented database. It is known for its ability to provide high availability of replica sets. A replica set is nothing but a bundle of two or more copies of the data

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2 years ago