1Z Oracle Big Data 2017 Implementation Essentials Exam Summary Syllabus Questions

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1 1Z0-449 Oracle Big Data 2017 Implementation Essentials Exam Summary Syllabus Questions

2 Table of Contents Introduction to 1Z0-449 Exam on Oracle Big Data 2017 Implementation Essentials... 2 Oracle 1Z0-449 Certification Details:... 2 Oracle 1Z0-449 Exam Syllabus: Z0-449 Sample Questions:... 4 Answers to 1Z0-449 Exam Questions: Z Oracle Big Data 2017 Implementation Essentials pg. 1

3 Introduction to 1Z0-449 Exam on Oracle Big Data 2017 Implementation Essentials You can use this exam guide to collect all the information about Oracle Big Data 2017 Implementation Essentials (1Z0-449) certification. The Oracle 1Z0-449 certification is mainly targeted to those candidates who has some experience or exposure of Oracle Big Data X4-2 and want to flourish their career with Oracle Big Data 2017 Certification Implementation Specialist (OCS) credential. The Oracle Big Data 2017 Implementation Essentials certification exam validates your understanding of the Oracle Big Data X4-2 technology and sets the stage for your future progression. Your preparation plan for Oracle 1Z0-449 Certification exam should include hands-on practice or on-the-job experience performing the tasks described in following Certification Exam Topics table. Oracle 1Z0-449 Certification Details: Exam Name Exam Code 1Z0-449 Exam Product Version Oracle Big Data X4-2 Oracle Big Data 2017 Implementation Essentials Exam Price USD $245 (Pricing may vary by country or by localized currency) Duration 120 Number of Questions 72 Passing Score 67 Format Multiple Choice Recommended Training Oracle Big Data 2016 Implementation Specialist Schedule Exam Pearson VUE - Oracle Recommended Practice 1Z0-449 Online Practice Exam Oracle 1Z0-449 Exam Syllabus: Big Data Technical Overview - Describe the architectural components of the Big Data Appliance - Describe how Big Data Appliance integrates with Exadata and Exalytics 1Z Oracle Big Data 2017 Implementation Essentials pg. 2

4 - Identify and architect the services that run on each node in the Big Data Appliance, as it expands from single to multiple nodes - Describe the Big Data Discovery and Big Data Spatial and Graph solutions - Explain the business drivers behind Big Data and NoSQL versus Hadoop - Explain the Hadoop Ecosystem - Implement the Hadoop Distributed File System - Identify the benefits of the Hadoop Distributed File System (HDFS) - Describe the architectural components of MapReduce Core Hadoop - Describe the differences between MapReduce and YARN - Describe Hadoop High Availability - Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop - Use Flume in the Hadoop Distributed File System - Implement the data flow mechanism used in Flume Oracle NoSQL Database Cloudera Enterprise Hadoop Distribution Programming with R Oracle Loader for Hadoop - Use an Oracle NoSQL database - Describe the architectural components (Shard, Replica, Master) of the Oracle NoSQL database - Set up the KVStore - Use KVLite to test NoSQL applications - Integrate an Oracle NoSQL database with an Oracle database and Hadoop - Describe the Hive architecture - Set up Hive with formatters and SerDe - Implement the Oracle Table Access for a Hadoop Connector - Describe the Impala real-time query and explain how it differs from Hive - Create a database and table from a Hadoop Distributed File System file in Hive - Use Pig Latin to query data in HDFS - Execute a Hive query - Move data from a database to a Hadoop Distributed File System using Sqoop - Describe the Oracle R Advanced Analytics for a Hadoop connector - Use Oracle R Advanced Analytics for a Hadoop connector - Describe the architectural components of Oracle R Advanced Analytics for Hadoop - Implement an Oracle Database connection with Oracle R Enterprise - Explain the Oracle Loader for Hadoop - Configure the online and offline options for the Oracle Loader for Hadoop - Load Hadoop Distributed File System Data into an Oracle database 1Z Oracle Big Data 2017 Implementation Essentials pg. 3

5 Oracle SQL Connector for Hadoop Distributed File System (HDFS) Oracle Data Integrator (ODI) and Hadoop Big Data SQL Xquery for Hadoop Connector Securing Hadoop 1Z0-449 Sample Questions: - Configure an external table for HDFS using the Oracle SQL Connector for Hadoop - Install the Oracle SQL Connector for Hadoop - Describe the Oracle SQL Connector for Hadoop Connector - Use ODI to transform data from Hive to Hive - Use ODI to move data from Hive to Oracle - Use ODI to move data from an Oracle database to a Hadoop Distributed File System using sqoop - Configure the Oracle Data Integrator with Application Adaptor for Hadoop to interact with Hadoop - Explain how Big Data SQL is used in a Big Data Appliance/Exadata architecture - Set up and configure Oracle Big Data SQL - Demonstrate Big Data SQL syntax used in create table statements - Access NoSQL and Hadoop data using a Big Data SQL query - Set up Oracle Xquery for Hadoop connector - Perform a simple Xquery using Oracle XQuery for Hadoop - Use Oracle Xquery with Hadoop-Hive to map an XML file into a Hive table - Describe Oracle Big Data Appliance security and encryption features - Set up Kerberos security in Hadoop - Set up the Hadoop Distributed File System to use Access Control Lists - Set up Hive and Impala access security using Apache Sentry - Use LDAP and the Active directory for Hadoop access control 01. Your customer needs to provide real-time data to big data analytic systems so that they can get insight into their business in a timely manner. What solution would you propose? a) Oracle Coherence b) Big Data Discovery c) Oracle In-Database Analytics d) Oracle RDBMS 02. When setting up Apache Flume for a customer, what does the Flume source do? a) Setup a passive store that keeps events until consumed by the sink b) Consumes events delivered to it by an external source c) Removes the event from the channel and puts it into HDFS d) Allows a user to build multi hop flows 1Z Oracle Big Data 2017 Implementation Essentials pg. 4

6 03. What is the result of the command executed using the TablesAPI in NoSQL? add-field type INTEGER name count a) A new integer based table named count is added b) A new column is added with the name count and type integer c) A new datatype is created that is mapped to the integer type d) This is an invalid command 04. Your customer has a requirement to handle multiple requests to query data in Hive tables. Which server would you use? a) Thrift Server b) Thrive Server c) SQL Server d) Hive Server Select the three-engineered systems where Big Data SQL can run. a) Oracle Private Cloud Appliance b) Oracle Exadata c) Oracle Exalytics d) Oracle Big Data Appliance 06. What do the ore functions in the Oracle R Advanced Analytics for Hadoop do? a) They create and manage objects in Oracle NoSQL. b) They create and manage objects in Apache Pig. c) They create and maange objects in a Hive database. d) They create and manage files in HDFS 07. How can you configure HDFS for High Availability? a) Create a standby namenode b) Ensure the namenodes are using shared storage c) Ensure the clients connecting to the cluster can handle failover of the namenode d) Install Oracle HDFS Data Guard e) Configure HDFS for Oracle Database Active Data Guard 08. Your customer needs to perform statistical analysis on database tables, views, and other data objects by using the R language. What product can the customer use for this? a) HiveRL Statistical Engine b) Oracle R Advanced Analytics for Hadoop c) Oracle R Enterpise d) R for MongoDB 09. Which option would you use to access large volumes of data in Hadoop and identify users with issues? a) Hive b) NoSQL c) SerDe d) a custom Java program e) Flume 1Z Oracle Big Data 2017 Implementation Essentials pg. 5

7 10. In a NoSQL architecture, how will your customer be notified of node failure? a) NoSQL Database File Logs b) Shard State Table c) KVStoreConfig Utility d) Shared Status Update Table Answers to 1Z0-449 Exam Questions: QUESTION: 01 QUESTION: 02 QUESTION: 03 QUESTION: 04 QUESTION: 05 Answer: d, d QUESTION: 06 QUESTION: 07 QUESTION: 08 QUESTION: 09 QUESTION: 10 Answer: c Answer: a, b, c Answer: c Answer: a Note: If you find any typo or data entry error in these sample questions, we request you to update us by commenting on this page or write an on feedback@oraclestudy.com 1Z Oracle Big Data 2017 Implementation Essentials pg. 6