SQL Access for Hadoop Cognitive Class Course Answer(💯Correct)

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SQL Access for Hadoop Cognitive Class Course Answer(💯Correct)

Hello Learners, Today, we are going to share SQL Access for Hadoop Cognitive Class Course Exam Answer launched by IBM. This certification course is totally free of cost✅✅✅ for you and available on Cognitive Class platform.

Here, you will find SQL Access for Hadoop Exam Answers in Bold Color which are given below.

These answers are updated recently and are 100% correct✅ answers of all modules and final exam answers of SQL Access for Hadoop from Cognitive Class Certification Course.

Course NameSQL Access for Hadoop
OrganizationIBM
SkillOnline Education
LevelBeginner
LanguageEnglish
PriceFree
CertificateYes

For participating in quiz/exam, first you will need to enroll yourself in the given link mention below and learn SQL Access for Hadoop launched by IBM. Interested students must enroll for this courses and grab this golden opportunity which will definitely enhance their technical skills and you will learn more things in brief.

Link for Course Enrollment: Enroll Now

Use “Ctrl+F” To Find Any Questions Answer. & For Mobile User, You Just Need To Click On Three dots In Your Browser & You Will Get A “Find” Option There. Use These Option to Get Any Random Questions Answer.

SQL Access for Hadoop Cognitive Class Course Exam Answer

Big Data University: BD0145EN

🔳 Module 1: Big SQL Overview SQL Access for Hadoop

Question 1 :Which Big SQL architecture component is responsible for accepting queries?

  • Hive Server
  • Scheduler
  • Worker Node
  • DDL Processing Engine
  • Master Node

Question 2 :Big SQL differs from Big SQL v1 in which of the following ways? Select all that apply.

  • Big SQL does not have support for HBase
  • Big SQL v1 reserves double quotes for identifiers
  • Big SQL requires the HADOOP keyword for table creation
  • Big SQL v1 treats single and double quotes as the same
  • DDL in Big SQL v1 is a superset of Big SQL

Question 3 :In Big SQL, what is the term for the default directory in the distributed file system (DFS) where tables are stored?

  • Schema
  • Metastore
  • Table
  • Warehouse
  • Partitioned Table

🔳 Module 2: Big SQL data types

Question 1 :What are the main data type categories in Big SQL? Select all that apply.

  • SQL
  • INT
  • Declared
  • REAL
  • Hive

Question 2 :When creating a table, which keyword is used to specify the DFS directory for storing data files?

  • EXTERNAL
  • HADOOP
  • USE
  • CHECK
  • LOCATION

Question 3 :Which human-readable Big SQL file format uses a character to separate column values?

  • Avro
  • Parquet
  • ORC
  • Sequence
  • Delimited

🔳 Final Exam

Question 1 : In order to use Big SQL, you need to learn several new query languages. True or false?

  • True
  • False

Question 2: Which component serves as the main interface between Big SQL and Hadoop?

  • Hive Metastore
  • Big SQL Master Node
  • Scheduler
  • Big SQL Worker Node
  • UDF FMP

Question 3 : Officially, there are two different releases of Big SQL. True or false?

  • True
  • False

Question 4 :Which of the following statements is true of a partitioned table?

  • Query predicates can be used to avoid scanning every partition
  • A table may be partitioned on one or more rows
  • Data is stored in multiple directories for each partition
  • The partitions are specified only when data is inserted
  • All of the above

Question 5 :Which of the following statements is true of JSqsh?

  • JSqsh supports multiple active sessions
  • JSqsh is an open source command client
  • JSqsh can be used to work with Big SQL
  • The term JSqsh derives from “Java SQL Shell”
  • All of the above

Question 6 : Which of the following statements is true of the SQL data type?

  • The database  engine supports the SQL data type
  • There are more declared data types than SQL data types
  • SQL data types are provided in the CREATE statement
  • SQL data types tell SerDe how to encode and decode values
  • All of the above

Question 7 : In Big SQL, the STRING and VARCHAR types are equivalent and can be used interchangeably. True or false?

  • True
  • False

Question 8 : What is the default Big SQL schema?

  • “admin”
  • Your login name
  • “warehouse”
  • “default”
  • The schema that was previously used

Question 9 : Which of the following statements are true of Parquet files? Select all that apply.

  • Parquet files are supported by the native I/O engine
  • Parquet files provide a columnar storage format
  • Parquet files support the DATE and TIMESTAMP data types
  • Parquet is a high-performance file format
  • Parquet files are good for data interchange outside of Hadoop

Question 10 : Which of the following statements are true of ORC files? Select all that apply.

  • ORC files are supported by the native I/O engine
  • ORC files are good for data interchange outside of Hadoop
  • Individual columns can be retrieved efficiently
  • ORC files can be efficiently compressed
  • Big SQL can exploit every advanced ORC feature

Question 11 : Which of the following statements is NOT true of the Native I/O processing engine?

  • There is a high-speed interface for common file formats
  • The native engine supports the delimited file format, among others
  • The native engine is highly optimized and parallelized
  • The native engine is written in Java
  • All of the above statements are true

Question 12 : Which of the following statements about Big SQL are true? Select all that apply.

  • Big SQL comes with comprehensive SQL support
  • Big SQL provides a powerful SQL query rewriter
  • Big SQL currently doesn’t support subqueries
  • Big SQL queries can only be written for one data source
  • Big SQL supports all the standard join operations

Question 13 : Which keyword indicates that the data in a table is not managed by the database manager?

  • USE
  • LOCATION
  • EXTERNAL
  • HADOOP
  • CHECK

Question 14 : The Avro file format is more efficient than Parquet and ORC. True or false?

  • True
  • False

Question 15 : Which statement accurately characterizes the Big SQL data types?

  • Sequence files are the fastest format
  • Delimited files are the most efficient format
  • ORC files can be efficiently compressed
  • Avro is human readable
  • RC files replaced ORC files

Conclusion

Hopefully, this article will be useful for you to find all the Modules and Final Quiz Answers of SQL Access for Hadoop of Cognitive Class and grab some premium knowledge with less effort. If this article really helped you in any way then make sure to share it with your friends on social media and let them also know about this amazing training. You can also check out our other course Answers. So, be with us guys we will share a lot more free courses and their exam/quiz solutions also and follow our Techno-RJ Blog for more updates.

FAQs

Can I get a Printable Certificate?

Yes, you will receive a SQL Access for Hadoop Certificate of Learning after successful completion of course. You can download a printed certificate or share completion certificates with others and add them to your LinkedIn profile.

Why should you choose online courses?

You should go to an online certification course to get credentials that can help you in your work. It also helps you to share your skills with the employer. These certificates are an investment in building your business. And the important thing you can access these courses anytime and multiple times.

Is this course is free?

Yes SQL Access for Hadoop Course is totally free for you. The only thing is needed i.e. your dedication towards learning this course.

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