1Z0-928 Exam Details

  • Exam Code
    :1Z0-928
  • Exam Name
    :Oracle Cloud Platform Big Data Management 2018 Associate
  • Certification
    :Oracle Certifications
  • Vendor
    :Oracle
  • Total Questions
    :60 Q&As
  • Last Updated
    :Jul 15, 2026

Oracle 1Z0-928 Online Questions & Answers

  • Question 1:

    Oracle's unified data management platform provides analysts with the ability to execute a single SQL statement across many data stores.

    Which three are data stores the SQL can be executed in?

    A. NoSQL databases
    B. Hadoop clusters
    C. Object-oriented databases
    D. Directory service store
    E. Relational databases

  • Question 2:

    How can you collect and move Syslog data with HDFS without any data loss?

    A. Use the HDFS copy command as long as you have necessary HDFS and Cluster Access Privileges.
    B. Use FLUME with Memory channel and Sink.
    C. Use FLUME with In File channel
    D. Use PIG with error checking enabled

  • Question 3:

    Oracle Event Hub Cloud Service is supported by many of the Oracle Cloud platforms. Which two are options of where you can deploy Event Hub Cloud Service (Apache Kafka)?

    A. in Oracle Public Cloud Data centers
    B. in Azure data centers
    C. in Rackspace data centers
    D. in AWS or Azure data centers
    E. in the Customer's on-premises data centers

  • Question 4:

    You have easily and successfully created clusters with the Oracle Big Data Cloud wizard. You want to create a cluster that will be very specific to the needs of your business. How would you customize Oracle Big Data Cloud clusters during provisioning?

    A. by using Stack Manager
    B. by using Oracle Enterprise Manager
    C. by using Platform Service Manager UI
    D. by using a Bootstrap script

  • Question 5:

    You have data in large files you need to copy from your Hadoop HDFS to other storage providers. You decided to use the Oracle Big Data Cloud Service distributed copy utility odcp.

    As odcp is compatible with Cloudera Distribution Including Apache Hadoop, which four are supported when copying files?

    A. Secure WebHDFS (SWebHDFS)
    B. Apache Hadoop Distributed File Service (HDFS)
    C. Apache Flume
    D. Hypertext Transfer Protocol (HTTP)
    E. Oracle Cloud Infrastructure Object Storage
    F. Apache Sqoop

  • Question 6:

    Big Data Cloud provides you the agility to rapidly and securely build, deploy, and grow your big data platform. It can easily scale to your varying workload demand. Which statement is NOT true regrading Oracle Big Data Cloud's feature in agility?

    A. You must scale Compute nodes and Storage nodes together at the same time.
    B. You can elastically scale only Storage nodes.
    C. You can scale Compute nodes and Storage nodes independently.
    D. You can elastically scale only Compute nodes.

  • Question 7:

    You need to enforce network encryption, as Kerberos authentication does not protect data as it travels through the network. Hadoop being a distributed system means that data must be transmitted over the network across machines.

    Which is NOT a network communication protocol used network encryption?

    A. Direct TCP/IP
    B. HTTPS
    C. SSI
    D. Hadoop RPC

  • Question 8:

    In which use case Event Hub Cloud Service (Apache Kafka) CANNOT be used?

    A. as a data pipeline solution for big data
    B. for Data Integration for streaming data
    C. as a relational data store
    D. for application development with micro services

  • Question 9:

    Which three statements are true about Whitelists?

    A. It is a list of all approved, enabled clusters.
    B. It is used to filter network traffic to services in the cluster.
    C. It specifies if clients for specific services on specific ports are denied access.
    D. It is list of clusters accessible to you.
    E. It is an index of approved entities.

  • Question 10:

    What does Schema On Read represent?

    A. Ingest all data and create structure per query requirements
    B. Create table structure, ingest data and query
    C. In-memory algorithm that defines the schema on the data
    D. Specialized schema optimized for read

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