1z0-449 試験問題を無料オンラインアクセス

You are helping your customer troubleshoot the use of the Oracle Loader for Hadoop
Connector in online mode. You have performed steps 1, 2, 4, and 5.
STEP 1: Connect to the Oracle database and create a target table.
STEP 2: Log in to the Hadoop cluster (or client).
STEP 3: Missing step
STEP 4: Create a shell script to run the OLH job.
STEP 5: Run the OLH job.
What step is missing between step 2 and step 4?

• A.Diagnose the job failure and correct the error.
• B.Copy the table metadata to the Hadoop system.
• C.Create an XML configuration file.
• D.Query the table to check the data.
• E.Create an OLH metadata file.

Your customer collects diagnostic data from its storage systems that are deployed at customer sites. The customer needs to capture and process this data by country in batches.
Why should the customer choose Hadoop to process this data?

• A.Hadoop is a batch data processing architecture.
• B.Hadoop processes data on large clusters (10-50 max) on commodity hardware.
• C.Node failures can be dealt with by configuring failover with clusterware.
• D.Hadoop processes data serially.
• E.Hadoop supports centralized computing of large data sets on large clusters.

How should you encrypt the Hadoop data that sits on disk?

• A.Enable Audit Vault and Database Firewall for Hadoop by using the Mammoth utility.
• B.Enable Transparent Data Encryption by using the Mammoth utility.
• C.Enable HDFS Transparent Encryption on a non-Kerberos secured cluster.
• D.Enable HDFS Transparent Encryption by using bdacli on a Kerberos-secured cluster.

Your customer has 10 web servers that generate logs at any given time. The customer would like to consolidate and load this data as it is generated into HDFS on the Big Data
Appliance.
Which option should the customer use?

• A.Set up a flume agent to capture the transactions and write them to HDFS.
• B.Set up an hbase agent to capture the transactions and write them to HDFS.
• C.Set up a web server agent in Apache Oozie to write the data to HDFS.
• D.Write a hive query to listen for new logs and save them in a Hive table.
• E.Set up a zookeeper agent to capture the transactions and write them to HDFS.

Your customer has a requirement to use Oracle Database to access and analyze the data that resides in Apache Hadoop.
What is the result of executing the following command when using Oracle SQL Connector for Hadoop?

• A.An external table called SALES_HIVE_XTAB is created to write data from a Hadoop table.
• B.An external table called SALES_HIVE_XTAB is created to read data from a Hive table.
• C.A Hive table called SALES_HIVE_XTAB is created.
• D.Hadoop is configured over JDBC to connect to the Oracle database by using Big Data
  SQL.