Wipro Infotech interview questions and answers - Interview Questions

What is the advantages of VB.NET ?

Editor — Thu, 22 Jul 2021 07:43:21 +0000

VB.NET offers code execution that runs under the Common Language Runtime (CLR), resulting in robust, stable and secure applications. Both features of the .NET framework are eagerly obtainable in VB.NET.
VB.NET is object oriented. This is a major addition that VB6 and other earlier releases didn’t have.
The .NET framework comes with ADO.NET, which follows the disconnected paradigm, i.e. once the required records are fetched the connection no longer exists.
It also retrieves the records that are expected to be accessed in the immediate future.
This enhances Scalability of the application to a great extent.
VB.NET uses XML to transfer data between the various layers in the DNA Architecture i.e. data are passed as simple text strings.
Error handling has changed in VB.NET. A new Try-Catch-Finally block has been introduced to handle errors and exceptions as a unit, allowing appropriate action to be taken at the place the error occurred thus discouraging the use of ON ERROR GOTO statement. This again credits to the maintainability of the code.

What is the difference between vb and vb.net ?

Editor — Thu, 22 Jul 2021 07:41:06 +0000

VB	VB.NET
VB stands for Visual Basic. It is a high level programming language that is used for the fast development of Windows based programs.	VB.NET stands for Visual Basic Network Enabled Technology. It is one of the languages for the .NET framework by Microsoft. This language has been created specifically for VB developers. It belongs to the category of object oriented computer programming languages that is implemented on the .NET framework.
Interpreter based Language	Compiled language
VB Runtime	Common Language Specification
This type of language is not safe.	This language is safe compared to visual basic.
Multithreaded applications Cannot be developed.	Multithreaded applications Can be developed.
Data is handled using DAO protocol, then RDO, followed by ADO (ActiveX Data Objects)	Data is handled using ADO.net
An object based language.	A true object oriented language.
Most of the parameters passed by reference.	Parameters passing by Default value.
Objects support default property	Objects does not support default property
Replaced by elements in Collection QBColor, RGB DateAdd, DateDiff, DatePart, DateSerial, DateValue, TimeSerial, TimeValue	System.Collection System.Drawing.Color Replaced by elements in System.DateTime
End Type structure can be used in declare function.	Declared using the Structure…End Structure construct.

What is the difference between sqoop and pig ?

Editor — Thu, 22 Jul 2021 06:59:29 +0000

Pig:

Pig is a platform for managing large data.
It uses high level programming to analyse the data.
The programming is done using the language pig latin.
It is simple and highly specific.
The pig Metastore stores all info about the tables. And we can execute spark sql queries because spark can interact with pig Metastore

Sqoop:

Sqoop is a simple tool used for transferring large amount of data.
It is used for transferring data from hadoop to relational database.
sqoop can import data from Oracle,MYSQL,SQl.
Sqoop metastore is a tool for using hosts in a shared metadata repository. Multiple users and remote users execute saved jobs in metastore.

What is staging table in sqoop ?

Editor — Thu, 22 Jul 2021 06:53:48 +0000

Staging table in sqoop:

Staging table is used to stage the exported data.
Sqoop breaks down method into multiple transactions. A failing job may create partial knowledge.
This could result in job failing because it could cause duplication of data or even collision while insertion.
Staging tables are simple database tables that contain business details.
Staging table acts as an auxiliary table that’s used to transferred data.
Sqoop breaks down export method into multiple transactions, it’s possible that a failing export job may lead to partial data being committed to the database

What is update command in sqoop ?

Editor — Thu, 22 Jul 2021 06:52:07 +0000

Update command in sqoop:

There are two approaches to update in sqoop.
- The records inserted are to be added to the target table.
- The sqoop provides an update mode by providing “update-key ” command.
This command is used to generate the SQl update statement.
If the value in column 1 matches the data is updated else the data is inserted into the table.
This technique is also refered to as upsert where the default action is update but insertion takes place when matching data is not available.

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What is the use of sqoop ?

Editor — Thu, 22 Jul 2021 06:49:42 +0000

Sqoop uses:

Sqoop is a simple tool that is used for moving data.
It is generally used move data from non hadoop data stores.
These non hadoop data stores are the relational databases and data warehouses .
Sqoop allows the users to specify the target (i.e) the place where the data is to be moved inside of hadoop from relational databases like Oracle,Teredata.
Data ingestion is important in any big data project because the volume of data is generally in petabytes or exabytes.
Hadoop Sqoop and Hadoop Flume are the two tools in Hadoop which is used to gather data from different sources and load them into HDFS.

What is sqoop metastore ?

Editor — Thu, 22 Jul 2021 06:47:16 +0000

Sqoop Metastore:

Sqoop metastore is an internally implemented database that can hold the definition of a given job.
It includes details like which database,which table,which approach,what query to extract from,what target to write to and so on.
Consider an array of SQL databases that have the same structure, but are partitioned by for performance reasons.
Thus we have the same sqoop job running against multiple database instances at the same time, all unified at a single table in Hadoop.
In order to get parallelization, we generate a job that manages the Sqoop sub-workflows. This results in 500 distinct sqoop jobs.
Metastore is used to handle these complexities.

What is sqoop ?

Editor — Thu, 22 Jul 2021 06:22:24 +0000

Sqoop:

Apache Sqoop is efficiently transferring data between Relational databases and Apache Hadoop.
It is used to import data from relational databases such as MySQL, Oracle to Hadoop HDFS, and export from Hadoop file system to relational databases.
It improves the efficiency of data analysis by combining structured data and unstructured data.
Sqoop stands for SQL for Hadoop.SQL + HADOOP =SQOOP

What is the difference between shell script and perl ?

Editor — Thu, 22 Jul 2021 04:09:14 +0000

What is the difference between shell script and perl ?

Shell Script	Perl
Shell script is a dependent platform only for Unix OS.	Perl is OS independent.
Shell script is a scripting language.	Perl is a programming language.
Scripting language need not be compliled.	Perl compiles the program before executing the script.
Shell Scripting using one or more built-in scripting languages.	Perl using only one scripting language.

What are Tickets in Realtime ?

Editor — Wed, 21 Jul 2021 14:38:46 +0000

Tickets in Real-Time

It means that the ticket you’re currently in is automatically refreshed when it’s modified, with any changes highlighted in green.
Sometimes, a different agent may submit a reply or change a ticket property (such as an assignee, tag or ticket type). Other times, ticket properties may be changed by a trigger, automation or a macro.
It could even be a new reply from your customer. In either case, your agents will be able to see these changes reflected in their help desk instantaneously.
- Ticket view
- Ticket filters
- Ticket list

Tickets in Real-Time

Ticket view

For example you’re viewing a ticket, here’s what will happen if another agent submits their own changes. All ticket property changes (including those changed by a trigger, automation or macro) will be highlighted in green & your previously made changes reset.
- ticket status
- assignee
- email
- CC
- subject
- tags
- priority
- type

New replies will have a green background with “NEW” appearing in the ticket header. If you’ve been working on a reply, it will remain intact.
New internal notes will have an orange background with “NEW” appearing in the ticket header. If you’ve been working on a reply, it will remain intact.
If a ticket is deleted while you’re viewing it, the ticket will disappear and you’ll see “Ticket #123 has been deleted by (agent’s name)”.

Ticket filters

Ticket filters (also known as ticket views) organize tickets according to your workflows and also displayed in real-time.
When a new, shared (i.e. visible to all agents) filter is created, a private filter is made shared or vice versa.
When the filter’s name is changed. If the search query or sorting properties are changed, they will not be reflected in real-time.
When a ticket appears or disappears from a filter, the number nearby the filter will be changed consequently.
When a new ticket appears or disappears from a filter you’re currently in.

Ticket list

The ticket list is the middle column which shows a list of tickets matching your current search query or filter. When new tickets are added, moved or deleted they will appear or disappear from the ticket list immediately.
Finally, check out Agent collision detection in tickets. It helps you see who is viewing, updating or replying to a ticket.

What is IC web client Launcher ?

Editor — Wed, 21 Jul 2021 14:37:05 +0000

What is IC web client launcher ?

The Internet dealings Server (ITS) shopper is that the system shopper wherever the launch transactions area unit dead once agents use the IC WebClient.You would like to log in to the remote system (for example, SAP ERP) to assemble the data required to take care of the computer address, however the settings area unit created within the CRM system.
The Interaction Center (IC) WebClient could be a thin-client, highly-optimized desktop application for interaction center agents. It provides a framework for process IC WebClient functions.

What technology used at presentation layer for displaying GUI to SAP user ?

Editor — Wed, 21 Jul 2021 14:35:13 +0000

SAP applications using the classic screen technology are displayed for the end user using the SAP GUI. The screen can contain a set of predefined elements or GUI controls.
The SAP GUI is used to display selection screens, messages, and classic lists from an ABAP program on the user’s screen.
Selection screens are special screens that can be defined without using Screen Painter. When an ABAP program is activated, the ABAP runtime environment activates all of the required screens with all of their parts.
Messages are short texts that are displayed in a dialog box or in the status line of the current SAP GUI window.

Difference between Procedure and Function ?

Editor — Tue, 20 Jul 2021 09:28:09 +0000

Difference between Procedure and Function ?

Procedure

A procedure is a named PL/SQL block which performs one or more specific task.This is similar to a procedure in other programming languages.
A procedure has a header and a body.
The header consists of the name of the procedure and the parameters or variables passed to the procedure.
The body consists declaration section, execution section and exception section similar to a general PL/SQL Block. A procedure is similar to an anonymous PL/SQL Block but it is named for repeated usage.

We can pass parameters to procedures in three ways

Parameters	Description
IN type	These types of parameters are used to send values to stored procedures
OUT type	These types of parameters are used to get values from stored procedures. This is similar to a return type in functions.
IN OUT type	These types of parameters are used to send values and get values from stored procedures.

Syntax

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Functions

A function is a named PL/SQL Block which is similar to a procedure.
The major difference between a procedure and a function is, a function must always return a value, but a procedure may or may not return a value.

Syntax

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Procedure vs function

Procedure	Function
Used mainly to a execute certain process.	Used mainly to perform some calculation.
Cannot call in SELECT statement.	A Function that contains no DML statements can be called in SELECT statement.
Use OUT parameter to return the value.	Use RETURN to return the value.
It is not mandatory to return the value.	It is mandatory to return the value.
RETURN will simply exit the control from subprogram.	RETURN will exit the control from subprogram and also returns the value.
Return datatype will not be specified at the time of creation.	Return datatype is mandatory at the time of creation.

What is the maximum size of a row in oracle 9i ?

Editor — Tue, 20 Jul 2021 09:27:14 +0000

What is the maximum size of a row in oracle 9i ?

The oracle is Unlimited of size.There is no limitations for row size in oracle 9i.

Who are the competitors of MapR ?

Editor — Tue, 20 Jul 2021 03:46:41 +0000

Competitors of MapR

Here, Some of the competitors are:

Microsoft Azure HDInsight: You can build Internet of Things and Streaming applications by using Azure HDInsight
Amazon EMR: Amazon EMR provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances.
Hortonworks: The Data management platform is the solutions for big data analysis and its a cost-effective and all types of data is used as open source architecture.
Postgres Plus: Is a advanced Server to clear sign of modifying times and they increasing a number of industries in the financial service company going away from their traditional database solutions.
Presto: Its running interactive analytic queries against data sources of all sizes its ranging from gigabytes to petabytes. with the help of open source distributed SQL query engine.

What is the relationship between mapR and Hadoop ?

Editor — Tue, 20 Jul 2021 03:45:14 +0000

Relationship between mapR and Hadoop

The MapR corporations is a large company or group of companies is selling a professional hadoop services and products. In the implementation of HDFS they have their own Hadoop distribution.
MapR Connect Data Platform, which is 100% binary compatible with the Apache Hadoop distributed file system (HDFS) to ensure plug-and-play similarity and no vendor lock-in.
A core modules of the MapR Platform is MapR-FS, read-write option, the NFS-mountable distributed file-system has been written in C++ program that directly access to a storage hardware and dramatically improving a performance and easy to administrat.
The other unlike Hadoop distributions that needs separate clusters for many applications, they can built a process to both distributed files in MapR Platform, database tables, and event streams in a single combined layer.
This company is support for two operation (e.g., HBase) and analytic application (e.g., Apache Drill, Hive, or Impala) on one cluster, significantly decreasing costs as you grow your big data deployment.

What is the advantage and disadvantage of using MapR over other Hadoop vendors ?

Editor — Tue, 20 Jul 2021 03:43:39 +0000

Advantage of using MapR over other Hadoop vendors

Tighter Hadoop integration
Reduce cluster sprawl
Reduce data movement
Enable real-time analytics on live data
Lower administrative overhead
Flexible JSON data model
Automatic optimizations

Less maintenance downtime
Consistent high performance
Fine grained access controls

More than simply table/document level
Globally consistent deployment capability

Disadvantage of using MapR over other Hadoop vendors

MapR is more expensive than free, but to be clear you can still use MapR Community Edition for free.
The free part of Apache Hadoop is usually considered to be the highest cost driver, In fact it isn’t even closed.
MapR has a client to running over 1,000 nodes and it will be have a single administrator for the entire MapR cluster.
MapR was built to be as close to zero-administration as possible in every respect.
It still delivers a faster and better user experience that the competition because it still runs the MapR File System which does not have a NameNode (read that as no single point of failure and no bottle necks when under heavy file load) and still support the HDFS API.
If you have a 10 node cluster with Apache Hadoop you loss 2 nodes. And it’s a Name Node and Secondary Node.
In the MapR all 10 nodes are for doing here actual work. That is a 20% improvement.
MapR even supports multiple versions of open source software running on the same cluster, the other vendors do not.
MapR also stays out of the politics and supports more open source software than the other vendors.
The performance of the MapR platform is much faster.
Any code you write to work with Apache Hadoop or Apache HBase just works with MapR’s distribution because it uses the same API binaries as the Apache Distributions.
The free open source still has a cost. People have a difficult time to calculating the costs. When it comes down to it, you have to figure out if you want to use the technology to solve problems and focus on your company’s core competency, or solve the problems within the technology to make it accomplish the task you want to complete.

What is MapR’s strategy on Apache Flink ?

Editor — Tue, 20 Jul 2021 03:42:21 +0000

MapR’s strategy on Apache Flink

MapR’s techniques on, all the new big data eco-system projects is maybe parallel.
MapR’s support new initiatives in a variety of ways to mentoring, code contributions, community development and others and then closely listen to customers to determine which projects are gaining traction.
During this time, MapR’s work with customers who have paid support to help them run new projects on their systems and work out kinks.
If a project gains serious momentum, then at some point MapR’s consider moving it into the full support category.
Full support required a considerable burden of testing and QA, so that isn’t a choice made lightly.
Spark is a great example of a project that has gone through this evolution from experimentation to production use and full support.
In the case of Flink, MapR’s have been working with many of the contributors for years, even before Flink was Flink and was still a part of the Stratosphere project.

What is MapR’s Direct Access NFS ?

Editor — Tue, 20 Jul 2021 03:40:27 +0000

MapR’s Direct Access NFS

NFS Benefits with the MapR Converged Data Platform
The MapR Converged Data Platform is the only big data platform that provides the full power of NFS.
MapR Direct Access NFS™ offers usability and interoperability advantages, and makes big data radically easier and less expensive to use.
MapR allows files to be modified and overwritten at high speeds in real time from remote servers via an NFS mount, and enables multiple concurrent reads and writes on any file.
MapR Direct Access makes big data totally easy and low price to use.
MapR allows files to be modified and overwritten, and enables multiple files simultaneously reads and writes.

What is MapR ?

Editor — Tue, 20 Jul 2021 03:39:16 +0000

MapR

MapR addresses the limitations of Hadoop with an fundamental data platform with no Java dependencies on the Linux file system.
MapR provides a dynamic read-write data layer that brings unequalled dependability, ease-of-use, and world-record speed to the Hadoop, NoSQL, database and streaming applications in one to connect the big data platform.
The MapR Connected Data Platform to provides unique capabilities for management, data protection, and business continuity.
In the advantages of a MapR Platform the data can be taken as a real-time stream; analysis can be performed directly on the data, and automaticaly responses can be executed.
MapR Makes DataOps Easier
MapR 6.0 powers DataOps, helping you to release greater value from all your data in less time. The data struggle is real.
Limit the last-generation and new technologies and also lead to silos across the organization, which distrub innovation, collaboration, and access to data.

Advantages:

High Availability

High availability (HA) is used to remain up and running unexpected failures, avoiding unplanned service disruption.

Real-time Streaming

MapR Streams is a global event streaming system for Big Data. It is the only Big Data streaming system to support global replication reliably at Iot scale.

Ease of Data Integration

MapR provides set of random read-write capable, POSIX compliant, highly available, performance NFS access for production use.

In YARN the Real Multi-tenancy

The features of MapR enviroment have to provide a physical cluster and separate administrative control, data placement and network access.