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NEW QUESTION NO: 10

How does increasing the number of storage nodes and shards impact the efficiency of Oracle NoSQL Database?
A. The number of shards or storage nodes does not impact performance.
B. Having more shards reduces the write throughput because of increased node forwarding.
C. Having more shards results in reduced read throughput because of increased node forwarding.
D. Having more shards increases the write throughput because more master nodes are available for writes.
Answer: D
Explanation/Reference:
The more shards that your store contains, the better your write performance is because the store contains more nodes that are responsible for servicing write requests.
References: https://docs.oracle.com/cd/E26161_02/html/GettingStartedGuide/introduction.html

NEW QUESTION NO: 11
Your customer wants you to set up ODI by using the IKM SQL to Hive module and overwrite existing Hive tables with the customer's new clinical data.
What parameter must be set to true?
A. CREATE_HIVE_TABLE
B. OVERWRITE_HIVE_TABLE
C. SQOOP_ODI_OVERWRITE
D. OVERWRITE_HDFS_TABLE
Answer: A

NEW QUESTION NO: 12

What are three correct results of executing the preceding query? (Choose three.)
A. Values longer than 100 characters for the DESCRIPTIONcolumn are truncated.
B. ORDER_LINE_ITEM_COUNTin the HDFS file matches ITEM_CNTin the external table.
C. ITEM_CNTin the HDFS file matches ORDER_LINE_ITEM_COUNTin the external table.
D. Errors in the data for CUST_NUMor ORDER_NUMset the value to INVALID_NUM.
E. Errors in the data for CUST_NUMor ORDER_NUMset the value to 0000000000.
F. Values longer than 100 characters for any column are truncated.
Answer: A,C,D
Explanation/Reference:
com.oracle.bigdata.overflow: Truncates string data. Values longer than 100 characters for the DESCRIPTION column are truncated.
com.oracle.bigdata.overflow: Truncates string data. Values longer than 100 characters for the DESCRIPTION column are truncated.
com.oracle.bigdata.erroropt: Replaces bad data. Errors in the data for CUST_NUM or ORDER_NUM set the value to INVALID_NUM.
References: https://docs.oracle.com/cd/E55905_01/doc.40/e55814/bigsql.htm#BIGUG76679

NEW QUESTION NO: 13
Your customer wants to architect a system that helps to make real-time recommendations to users based on their past search history.
Which solution should the customer use?
A. Oracle Container Database
B. Oracle Exadata
C. Oracle NoSQL
D. Oracle Data Integrator
Answer: D
Explanation/Reference:
Oracle Data Integration (both Oracle GoldenGate and Oracle Data Integrator) help to integrate data end- to-end between big data (NoSQL,Hadoop-based) environments and SQL-based environments. These data integration technologies are the key ingredient to Oracle's Big Data Connectors. Oracle Big Data Connectors provide integration to from Oracle Big Data Appliance to relational Oracle Databases where in- Database analytics can be performed.
Oracle's data integration solutions speed the loads of the Connecting Visibility to Value Oracle Exadata Database Machine by 500% while providing continuous access to business critical information across heterogeneous sources.
References: http://www.oracle.com/us/solutions/fastdata/fast-data-gets-real-time-wp-1927038.pdf

NEW QUESTION NO: 14
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: 15
Which command should you use to view the contents of the HDFS directory, /user/oracle/logs?
A. hadoop fs -cat /user/oracle/logs
B. hadoop fs -ls /user/oracle/logs
C. cd /user/oracle
hadoop fs -ls logs
D. cd /user/oracle/logs
hadoop fs -ls *
E. hadoop fs -listfiles /user/oracle/logs
F. hive> select * from /user/oracle/logs
Answer: B
Explanation/Reference:
To list the contents of a directory named /user/training/hadoopin HDFS.
#
hadoop fs -ls /user/training/hadoop
Incorrect Answers:
A: hadoop fs -catdisplays the content of a file.
References: http://princetonits.com/blog/technology/33-frequently-used-hdfs-shell-commands/

NEW QUESTION NO: 16
What two things does the Big Data SQL push down to the storage cell on the Big Data Appliance?
(Choose two.)
A. Transparent Data Encrypted data
B. PL/SQL evaluation
C. the column selection of data from individual Hadoop nodes
D. Business Intelligence queries from connected Exalytics servers
E. WHEREclause evaluations
Answer: A,C

NEW QUESTION NO: 17
What are two of the main steps for setting up Oracle XQuery for Hadoop? (Choose two.)
A. unpacking the contents of oxh-version.zipinto the installation directory
B. installing the Oracle SQL Connector for Hadoop
C. configuring an Oracle wallet
D. installing the Oracle Loader for Hadoop
Answer: A,D
Explanation/Reference:
To install Oracle XQuery for Hadoop:
1. Unpack the contents of oxh-version.zip into the installation directory
2. To support data loads into Oracle Database, install Oracle Loader for Hadoop References: https://docs.oracle.com/cd/E49465_01/doc.23/e49333/start.htm#BDCUG509

NEW QUESTION NO: 18
Your customer's Oracle NoSQL store has a replication factor of 3. One of the customer's replica nodes goes down.
What will be the long-term performance impact on the customer's NoSQL database if the node is replaced?
A. There will be no performance impact.
B. The database read performance will be impacted.
C. The database read and write performance will be impacted.
D. The database will be unavailable for reading or writing.
E. The database write performance will be impacted.
Answer: C
Explanation/Reference:
The number of nodes belonging to a shard is called its Replication Factor. The larger a shard's Replication Factor, the faster its read throughput (because there are more machines to service the read requests) but the slower its write performance (because there are more machines to which writes must be copied).
Note: Replication Nodes are organized into shards. A shard contains a single Replication Node which is responsible for performing database writes, and which copies those writes to the other Replication Nodes in the shard. This is called the master node. All other Replication Nodes in the shard are used to service read-only operations.
References: https://docs.oracle.com/cd/E26161_02/html/GettingStartedGuide/ introduction.html#replicationfactor

NEW QUESTION NO: 19
You need to place the results of a PigLatin script into an HDFS output directory.
What is the correct syntax in Apache Pig?
A. update hdfs set D as './output';
B. store D into './output';
C. place D into './output';
D. write D as './output';
E. hdfsstore D into './output';
Answer: B
Explanation/Reference:
Use the STORE operator to run (execute) Pig Latin statements and save (persist) results to the file system.
Use STORE for production scripts and batch mode processing.
Syntax: STORE alias INTO 'directory' [USING function];
Example: In this example data is stored using PigStorage and the asterisk character (*) as the field delimiter.
A = LOAD 'data' AS (a1:int,a2:int,a3:int);
DUMP A;
(1,2,3)
(4,2,1)
(8,3,4)
(4,3,3)
(7,2,5)
(8,4,3)
STORE A INTO 'myoutput' USING PigStorage ('*');
CAT myoutput;
1*2*3
4*2*1
8*3*4
4*3*3
7*2*5
8*4*3
References: https://pig.apache.org/docs/r0.13.0/basic.html#store

NEW QUESTION NO: 20
Which three pieces of hardware are present on each node of the Big Data Appliance? (Choose three.)
A. high capacity SAS disks
B. memory
C. redundant Power Delivery Units
D. InfiniBand ports
E. InfiniBand leaf switches
Answer: A,B,D
Explanation/Reference:
Big Data Appliance Hardware Specification and Details, example:
Per Node:
2 x Eight-Core Intel ® Xeon ® E5-2260 Processors (2.2 GHz)

64 GB Memory (expandable to 256GB)

Disk Controller HBA with 512MB Battery backed write cache

12 x 3TB 7,200 RPM High Capacity SAS Disks

2 x QDR (Quad Data Rate InfiniBand)(40Gb/s) Ports

4 x 10 Gb Ethernet Ports

1 x ILOM Ethernet Port

References: http://www.oracle.com/technetwork/server-storage/engineered-systems/bigdata-appliance/ overview/bigdataappliancev2-datasheet-1871638.pdf

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