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NEW QUESTION NO: 15

Your customer has an older starter rack Big Data Appliance (BDA) that was purchased in 2013. The customer would like to know what the options are for growing the storage footprint of its server.
Which two options are valid for expanding the customer's BDA footprint? (Choose two.)
A. Elastically expand the footprint by adding additional Big Data Oracle Database Servers.
B. Racks manufactured before 2014 are no longer eligible for expansion.
C. Elastically expand the footprint by adding additional Big Data Storage Servers.
D. Elastically expand the footprint by adding additional high capacity nodes.
E. Upgrade to a full 18-node Big Data Appliance.
Answer: B,E

NEW QUESTION NO: 16
Your customer is spending a lot of money on archiving data to comply with government regulations to retain data for 10 years.
How should you reduce your customer's archival costs?
A. Denormalize the data.
B. Offload the data into Hadoop.
C. Use Oracle Data Integrator to improve performance.
D. Move the data into the warehousing database.
Answer: B
Explanation/Reference:
Extend Information Lifecycle Management to Hadoop
For many years, Oracle Database has provided rich support for Information Lifecycle Management (ILM).
Numerous capabilities are available for data tiering - or storing data in different media based on access requirements and storage cost considerations.
These tiers may scale from 1) in-memory for real time data analysis, 2) Database Flash for frequently accessed data, 3) Database Storage and Exadata Cells for queries of operational data and 4) Hadoop for infrequently accessed raw and archive data:

References: http://www.oracle.com/technetwork/database/bigdata-appliance/overview/bigdatasql- datasheet-2934203.pdf

NEW QUESTION NO: 17
What is the result when a flume event occurs for the following single node configuration?

A. The event is written to memory.
B. The event is logged to the screen.
C. The event output is not defined in this section.
D. The event is sent out on port 44444.
E. The event is written to the netcat process.
Answer: B
Explanation/Reference:
This configuration defines a single agent named a1. a1 has a source that listens for data on port 44444, a channel that buffers event data in memory, and a sink that logs event data to the console.
Note:
A sink stores the data into centralized stores like HBase and HDFS. It consumes the data (events) from the channels and delivers it to the destination. The destination of the sink might be another agent or the central stores.
A source is the component of an Agent which receives data from the data generators and transfers it to one or more channels in the form of Flume events.
Incorrect Answers:
D: port 4444 is part of the source, not the sink.
References: https://flume.apache.org/FlumeUserGuide.html

NEW QUESTION NO: 18
Identify two features of the Hadoop Distributed File System (HDFS). (Choose two.)
A. It is written to store large amounts of data.
B. The file system is written in C#.
C. It consists of Mappers, Reducers, and Combiners.
D. The file system is written in Java.
Answer: A,D
Explanation/Reference:
HDFS is a distributed file system that provides high-performance access to data across Hadoop clusters.
Like other Hadoop-related technologies, HDFS has become a key tool for managing pools of big data and supporting big data analytics applications.
The Hadoop framework, which HDFS is a part of, is itself is mostly written in the Java programming language, with some native code in C and command line utilities written as shell scripts.
References: https://en.wikipedia.org/wiki/Apache_Hadoop

NEW QUESTION NO: 19
Your customer receives data in JSON format.
Which option should you use to load this data into Hive tables?
A. Python
B. Sqoop
C. a custom Java program
D. Flume
E. SerDe
Answer: E
Explanation/Reference:
SerDe is short for Serializer/Deserializer. Hive uses the SerDe interface for IO. The interface handles both serialization and deserialization and also interpreting the results of serialization as individual fields for processing.
A SerDe allows Hive to read in data from a table, and write it back out to HDFS in any custom format.
Anyone can write their own SerDe for their own data formats.
The JsonSerDe for JSON files is available in Hive 0.12 and later.
References: https://cwiki.apache.org/confluence/display/Hive/SerDe

NEW QUESTION NO: 20
Your customer's Hadoop cluster displays an error while running a MapReduce task by using Yarn. The error states that a container could not be created.
Which resource in Yarn creates containers?
A. Task Tracker
B. Resource Manager
C. NameNode
D. MasterNode
E. Node Manager
Answer: E
Explanation/Reference:
1. When a container is "launched" on a NodeManager, there is a bunch of setup (localization, environment, etc.) that gets done before either the container or the YARN task can launch.
2. Once setup is completed, the NodeManager launches a process that launches the actual YARN task.
The parent process of the YARN task is used by YARN as a handle for managing the task.
3. Using the handle in 2, YARN can track when a process goes over it's container allocation for memory and will kill it.
References: https://blog.cloudera.com/blog/2015/09/untangling-apache-hadoop-yarn-part-1/

NEW QUESTION NO: 21
Your customer has had a security breach on its running Big Data Appliance and needs to quickly enable security for Hive and Impala.
What is the quickest way to enable the Sentry service?
A. Execute bdacli sentry enable.
B. Use the Mammoth utility during installation.
C. Sentry is enabled by default on the Big Data Appliance.
D. Use the Cloudera Manager.
Answer: D
Explanation/Reference:
Sentry Setup with Hive.
Before Sentry is setup we have to ensure that Kerberos is enabled in the cluster and users have specific access to folders and services. Follow the below steps to setup Sentry with Kerberos:
1. Open Cloudera Manager and go to settings and install new parcel http://archive.cloudera.com/sentry/ parcels/latest/
2. Set the user for hive warehouse folder in Hadoop to hive
3. In Cloudera Manager go to HiveServer2 settings
4. Under Configurations section, uncheck the HiveServer2 Enable Impersonation property.
5. Create a new File sentry-provider.ini in /user/hive/sentry
6. Go to Cloudera Manager MapReduce configuration and set the Minimum User ID for Job Submission to
0.
7. In Hive settings go to Service-Wide category, Sentry section, check Enable Sentry Authorization.
8. Save all changes and deploy client configuration.
9. Restart cluster for changes to take effect.
Incorrect Answers:
A: You use the command bdacli enable sentry, not bdacli sentry enable.
References: http://ngvtech.in/droidhub/hadoop-kerberos-security/

NEW QUESTION NO: 22
Your customer needs to analyze large numbers of log files after combining them with customer profile and interaction data. The customer wants to be able to analyze these files back to their go-live date, which was last October.
Which solution should you choose to accomplish this?
A. Oracle NoSQL
B. Oracle Database
C. Hadoop
D. Berkeley DB
Answer: C

NEW QUESTION NO: 23
Which parameter setting will force Impala to execute queries only on the coordinator node?
A. DISABLE_UNSAFE_SPILLS=TRUE
B. SYNC_DDL=TRUE
C. NUM_NODES=1
D. NUM_SCANNER_THREADS=1
Answer: C
Explanation/Reference:
Limit the number of nodes that process a query, typically during debugging. Only accepts the values 0 (meaning all nodes) or 1 (meaning all work is done on the coordinator node). If you are diagnosing a problem that you suspect is due to a timing issue due to distributed query processing, you can set NUM_NODES=1 to verify if the problem still occurs when all the work is done on a single node.
Incorrect Answers:
A: the query option DISABLE_UNSAFE_SPILLS=true limits the spill-to-disk feature to prevent runaway disk usage from queries that are known in advance to be suboptimal.
References: http://www.cloudera.com/documentation/cdh/5-1-x/Impala/Installing-and-Using-Impala/ ciiu_num_nodes.html

NEW QUESTION NO: 24
Your customer needs to move data from Hive to the Oracle database but does have any connectors purchased.
What is another architectural choice that the customer can make?
A. Use Apache Sqoop.
B. Use Apache Sentry.
C. Use Apache Pig.
D. Export data from Hive by using export/import.
Answer: A
Explanation/Reference:
Sqoop is a tool designed to transfer data between Hadoop and relational database servers. 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.
Incorrect Answers:
B: Apache Sentry is an authorization module for Hadoop that provides the granular, role-based authorization required to provide precise levels of access to the right users and applications.
C: Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs.
References: https://www.tutorialspoint.com/sqoop/

NEW QUESTION NO: 25
Your customer is using the IKM SQL to HDFS File (Sqoop) module to move data from Oracle to HDFS.
However, the customer is experiencing performance issues.
What change should you make to the default configuration to improve performance?
A. Change the ODI configuration to high performance mode.
B. Increase the number of Sqoop mappers.
C. Add additional tables.
D. Change the HDFS server I/O settings to duplex mode.
Answer: B
Explanation/Reference:
Controlling the amount of parallelism that Sqoop will use to transfer data is the main way to control the load on your database. Using more mappers will lead to a higher number of concurrent data transfer tasks, which can result in faster job completion. However, it will also increase the load on the database as Sqoop will execute more concurrent queries.

References: https://community.hortonworks.com/articles/70258/sqoop-performance-tuning.html

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