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Free 1z0-449: Oracle Big Data 2016 Implementation Essentials Exam Questions and Answers

Last updated: January 14, 2025

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304-1z0-449: Oracle Big Data 2016 Implementation Essentials

#Question
Your data analysis team requires integration with a BI tool for reporting. What should you ensure is in place?
A.
SQL execution
B.
Simple queries
C.
JDBC or ODBC connection
D.
Real-time processing
Correct Answer: C
Ensuring JDBC or ODBC connection allows BI tools to seamlessly integrate and querying the Hadoop ecosystem for reporting purposes.

1z0-449: Oracle Big Data 2016 Implementation Essentials

Discussing...

Your data analysis team requires integration with a BI tool for reporting. What should you ensure is in place?


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#Question
An organization looks to perform batch analytics on large datasets. What is an efficient strategy in Hadoop?
A.
Use Spark Streaming
B.
Data replication
C.
Use of Hive
D.
Real-time processing
Correct Answer: C
Utilizing Hive for batch analytics on large datasets is efficient due to its ability to handle massive amounts of data stored in HDFS.

1z0-449: Oracle Big Data 2016 Implementation Essentials

Discussing...

An organization looks to perform batch analytics on large datasets. What is an efficient strategy in Hadoop?


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#Question
Your organization has a requirement for real-time data ingestion with minimum lag. Which technology would be appropriate?
A.
Apache Ambari
B.
Apache Pig
C.
Apache Flink
D.
Apache Hive
Correct Answer: C
Apache Flink is specifically designed to handle real-time data ingestion with low-latency operations, making it a suitable choice.

1z0-449: Oracle Big Data 2016 Implementation Essentials

Discussing...

Your organization has a requirement for real-time data ingestion with minimum lag. Which technology would be appropriate?


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#Question
When designing a data lake, what is one of the most significant challenges?
A.
Managing metadata
B.
Data accessibility
C.
Data governance
D.
High data volume
Correct Answer: A
Managing metadata effectively is one of the main challenges in implementing a data lake to ensure usability and accessibility of stored data.

1z0-449: Oracle Big Data 2016 Implementation Essentials

Discussing...

When designing a data lake, what is one of the most significant challenges?


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#Question
If your application requires handling complex event processing, which framework would you choose?
A.
Apache Flink
B.
Apache Kafka
C.
Apache Pig
D.
Apache Spark
Correct Answer: A
Apache Flink is well-suited for complex event processing due to its support for stateful computations and event time processing.

1z0-449: Oracle Big Data 2016 Implementation Essentials

Discussing...

If your application requires handling complex event processing, which framework would you choose?


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#Question
Your data warehouse system needs to provide data transformation capabilities. Which technology would best support this requirement?
A.
Apache Drill
B.
Apache Hive
C.
Apache Pig
D.
Apache Sqoop
Correct Answer: C
Apache Pig is designed for data transformation and provides a scripting language to define complex workflows.

1z0-449: Oracle Big Data 2016 Implementation Essentials

Discussing...

Your data warehouse system needs to provide data transformation capabilities. Which technology would best support this requirement?


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#Question
You are tasked with migrating data from an RDBMS to a Hadoop environment. Which tool is best suited to simplify this process?
A.
Apache Oozie
B.
Apache Hive
C.
Apache Spark
D.
Apache Sqoop
Correct Answer: D
Apache Sqoop is designed for the efficient transfer of data between RDBMS and Hadoop systems, making it ideal for migration tasks.

1z0-449: Oracle Big Data 2016 Implementation Essentials

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You are tasked with migrating data from an RDBMS to a Hadoop environment. Which tool is best suited to simplify this process?


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