Internet of Things

 1. Arduino board can withstand a maximum voltage of _________ - 20v

2. Photo diode is a/an ____________ electronic component.- Passive

3. ____________ is a standardized method to establish communication between interconnected devices. - Protocol

4. Implementing Edge/Fog computing helps to reduce network bandwidth- True

5.____________ is a suite of applications used to prepare and present data in a meaningful way - IoT Platform

6. The unique identifier of an IoT device helps - 

7. MQTT is an open OASIS and ISO standard lightweight, publish-subscribe network protocol that transports messages between devices

8.Raspberry Pi is a low-cost general-purpose computer.- True

9. Arduino Uno is pre-programmed with - boot loader

10. IoT infrastructure should support - anytime anywhere

11. Which of the following is a/are characteristic(s) of an IoT application? - Connectable and Scalable

12. WAN is not an IoT protocols 

13. Edge computing helps to reduce the latency time of processing information - TRUE

14. Arduino board can read sensor values through the analog I/O pins. - TRUE

15. Arduino is a microcontroller.  - False

16. The following are IoT platforms, except _________ Zoho Connect

17. 'Denial of Service' is a attack using interconnected PC or devices. - TRUE

18. Edge computing is - Processing the data near the device

19. ___________ is a specialized web transfer protocol for use with constrained nodes and networks in IoT. - CoAP

20. Identify the non-IoT device from the given options.- Microsoft Surface Laptop

21. Internet of Things is a system of interconnected computing devices. - True

22. Sensors and Actuators are also known as ___________ - Transducers

Deep Learning

1.       What is the method to overcome the Decay of Information through time in RNN known as?

·          Gating

2.       The measure of Difference between two probability distributions is know as  

·         KL Divergence

3.       Recurrent Network can input Sequence of Data Points and Produce a Sequence of Output

·         True

4.       Prediction Accuracy of a Neural Network depends on _______________ and ______________

·          Weight & Bias

5.       Process of improving the accuracy of a Neural Network is called –

·         Training

6.       The rate at which cost changes with respect to weight or bias is called __________________

·         Gradient

7.       A _______________ matches or surpasses the output of an individual neuron to a visual stimuli. –

·         Convolution

8.       Autoencoders cannot be used for Dimensionality Reduction.

·         FALSE

9.       Data Collected from Survey results is an example of _ -

·         Structured Data

10.   Recurrent Networks work best for Speech Recognition. –

·         True

11.   How do RNTS interpret words?

·          Vector representation

12.   De-noising and Contractive are examples of

·         Autoencoders

13.   Gradient at a given layer is the product of all gradients at the previous layers.

·         True

14.   A Deep Belief Network is a stack of Restricted Boltzmann Machines.

·         True

15.   What are the two layers of a Restricted Boltzmann Machine called ?

·         Visible and Hidden

16.   All the Visible Layers in a Restricted Boltzmann Machine are connected to each other.

·         False

17.   Name the component of a Neural Network where the true value of the input is not observed.

·         Hidden Layer

18.   What is the difference between the actual output and generated output known as?

·         Cost

19.   In a Neural Network, all the edges and nodes have the same Weight and Bias values.

·         False

20.   What does LSTM stand for?

·         Long Short Term memory

21.   RELU stands for _______________

·         Rectified Linear Unit

22.   A Shallow Neural Network has only one hidden layer between Input and Output layers.

·         True

23.   Restricted Boltzmann Machine expect the data to be labeled for Training.

·         False

24.   Support Vector Machines, Naive Bayes and Logistic Regression are used for solving _______________________ problems.

·         Classification

25.   _____________ is a recommended Model for Pattern Recognition in Unlabeled Data.

·         Autoencoders

26.   Recurrent Neural Networks are best suited for Text Processing.

·         True

Which six files are involved in database recovery for block storage option after a database crash?

Which six files are involved in database recovery for block storage option after a database crash? 

A. Essn.pag 
B. Essn.ind
C. Essn.dat
D. Temp.dat
E. Dbname.esm
F. Dbname.tct
G. Dbname.ind

H. DBname.otl
I. Metadata folder 

 

Correct Answer: ABEFGH
Explanation/Reference:

Tip : BSO cubes store data in the form of .pag files, ASO Cubes store data in the form of .dat files. So C&D can not be the answer.

Answer is available at the below two references,

Book - Look Smarter than you are with Hyperion Essbase 11.1.2 Page # 509
Link - Using Backup and Restore for Block Storage Databases  https://docs.oracle.com/cd/E57185_01/EPMBK/ch04s01s02s02.html

Understanding Conversational Systems

Q : Which of the following features cannot be accomplished using Slack API?

A : Configuring Voice commands

Q : Managing DevOps via chat is called ChatOps. 

A : TRUE

Q : Mitsuku Bot is built for the conversational purpose on the Kik Messenger Platform. Mitsuku Bot can be classified as a ____________

A : Consumer Bot

Q : Which of the following features can be accomplished with the help of Facebook Messenger Platform

A : All

Q : Natural Language Parser is used to extract __________________ and ____________________

A : Intent , Entity

Q : What was the methodology used by the ELIZA program devised by Joseph Weizenbaum to come up with responses to questions?

A : Pattern matching

Q : Google Now, Siri, and Cortana can be grouped under ______________

A : Voice based

Q : 'Chatbot, Conversational Agent, and Dialogue Systems; all these terms are the same.' State whether this statement is true or false.

A : TRUE

Q : Bots are the new User Interface.

A : TRUE

Q : Alexa, a popular bot from Amazon provides feature to integrate with IoT devices.

A : TRUE

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DB2ADVIS for db2 queries tuning

Unlike other databases , DB2 has a unique feature that suggests you what indexes you need to create to tune a particular query. It also tells you if there are any unused indexes so that they can be deleted to save the memory. DB2ADVIS is the command that does this.

Inorder a DB2ADVIS command to be run , the db2profile must need to be run along with EXPLAIN.DDL

Go to the server where the db2 is installed, navigate to the 'sqllib' path and enter db2profile command, as below,

abcd\> ~servername/sqllib/db2profile

• To run the EXPLAIN.DDL, first connect to the database as below,
• db2 connect to <database>
• Change the directory to where the EXPLAIN.DDL is available. EXPLAIN.DDL file is available at the sqllib/misc path..
• cd /db2/<servername>/sqllib/misc/
• Now run the EXPLAIN.DDL as below,
• db2 -tvf  EXPLAIN.DDL
• Now you are set to run the DB2ADVIS.
• For this make sure you have the query in a text file (ex: query.in), the query.in file shouldn't have any extra spaces, otherwise the DB2ADVIS will fail.
• Run the DB2ADVIS as below,
• db2advis -d <database_name> -i query.in -o queryadvis.advis
• Here, queryadvis.advis is the output file where you will have the indexes that needs be created...
• Surprisingly these suggestions be available along with the create index queries.

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