Browse all practice questions for the HPC Big Data Veteran Deck Practice Test. Search by topic, open any question and review its full explanation, then test yourself in the practice quiz.

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  • Which workload option completed the task in the least amount of time on OCI?
  • Which of the following is a key characteristic of Big Data?
  • What occurs when an instance pool is deleted?
  • What is a common storage solution for handling Big Data?
  • How should 3TB of data be stored to maximize throughput?
  • If a customer has an RPO of 4 hours and an RTO of 1 hour, which DR methods would you recommend? (Choose 2)
  • What is the significance of IOPS in determining throughput in data storage systems?
  • What is the significance of using "containers" in Big Data deployments?
  • Which of the following is a common challenge faced in Big Data computing?
  • Which of the following factors is crucial for workloads that require high throughput?
  • What is the significance of using Big Data analytics in business?
  • How can predictive analytics be beneficial for marketing strategies?
  • Which type of autoscaling allows resources to be adjusted on a predetermined schedule?
  • What does the TeraSort phase involve?
  • What is a key benefit of using a content delivery network (CDN) for Big Data?
  • What is the maximum throughput per volume in the given scenario?
  • What does HPC stand for in the context of Big Data?
  • What is used to monitor the health of backend servers in an OCI load balancer?
  • If streaming is embarrassingly parallel, what shape do you choose?
  • What kind of workloads benefit from a file system designed for random I/O?
  • Higher performance workloads are characterized by what requirement?
  • What kind of storage is often utilized for object storage in Big Data solutions?
  • What CIDR range characteristic allows for more addresses?
  • What does Data Science primarily integrate with?
  • Which other processing method is widely considered common in Big Data workloads?
  • Name a critical factor to consider when implementing a Big Data strategy.
  • What characteristic of Big Data can lead to challenges in data management?
  • What role does Apache Beam play in data processing?
  • What is a "data scientist"?
  • In terms of Big Data, what is 'data lineage'?
  • What does a dashboard typically visualize?
  • Which architecture is commonly associated with Big Data technologies?
  • Which AutoML feature is NOT found in the Data Science Platform?
  • How are instances within an instance pool typically distributed?
  • How many Block Volumes can a 25 Gbps NIC connect to in the configuration provided?
  • Which feature of OCI allows for the elastic and automatic provisioning of resources?
  • What is a feature of the BM.Standard.E3.128 instance type in cloud platforms?
  • Which of the following storage options is generally used for streaming and log processing?
  • What is the primary purpose of a Data Lake?
  • What does the acronym "HDFS" stand for?
  • What does "high throughput" in workloads refer to?
  • What does the acronym "BI" stand for in analytics?
  • What framework is commonly used for processing large datasets across clusters of computers?
  • What is a characteristic of the BM.Standard2.52 compute shape?
  • Which cloud platform provides support for various Hadoop distributions, including Cloudera?
  • What does MPP stand for in database technologies?
  • When would you typically use HPC? (Choose 2)
  • What is the primary advantage of using a parallel file system outside of the compute cluster for certain workloads?
  • Which of the following is a best practice for Big Data migration?
  • How can you speed up tightly coupled workloads?
  • Why is data visualization important in Big Data?
  • Which type of data is typically stored in a Data Warehouse?
  • Which programming model is used in Big Data processing?
  • What is ETL in the context of Big Data?
  • For running an embarrassingly parallel workload like risk analysis using Monte Carlo, what would be the first guess for computational resources?
  • Which of the following is an element of data governance?
  • Which of the following is a common tool used for data processing and analysis in Big Data?
  • What is the main purpose of local NVMe in a Scratch Filesystem?
  • What does the term "scalability" mean in Big Data systems?
  • What type of data processing is characteristic of "batch processing"?
  • What is data governance?
  • Which OCI offering can provide high performance for workloads requiring rapid disk I/O?
  • Which of the following is a benefit of High Performance Computing in Big Data?
  • What characteristic of object storage allows users to not worry about data redundancy?
  • What is a potential ethical concern related to Big Data usage?
  • When an instance pool scales in, in what order are instances terminated?
  • In Big Data, what does "volume" represent?
  • What is an example of a virtual resource designation for a load balancer?
  • What is a key characteristic of NoSQL databases?
  • Which of the following best defines big data?
  • Which processing engine is known for handling both batch and stream processing in Big Data?
  • For block volume performance tier, if you have 10 TB of storage and only edit small chunks of it, what should you do?
  • How does "data mining" contribute to Big Data analytics?
  • What is one advantage of using Parallel File Systems in HPC environments?
  • What should be the replication factor for HDFS when using locally attached storage?
  • Which metric is typically monitored for triggering autoscaling?
  • What is the term for enhancing raw data with additional information in Big Data analytics?
  • What term describes a software framework that allows for distributed processing of large data sets?
  • What is the main function of terasort in data processing?
  • Which of the following is NOT a benchmark test performed in Linux?
  • Which statement best describes the concept of "no free lunch" in Amdahl's Law?
  • Which programming language is often associated with Apache Spark?
  • In the event of a node failure during a job, what action should be taken?
  • What method is primarily used for benchmarking parallel file systems?
  • What is the calculated efficiency of a configuration using 2 nodes over 4 hours compared to 4 nodes over 3 hours?
  • In which OCI configuration can you minimize latency for applications running on compute instances?
  • What is a recommended storage setup for a Scratch Filesystem of about 3TB?
  • What is a significant overhead in managing on-premises Big Data infrastructure?
  • Which option is not included in the OCI load balancer backend sets?
  • What is the primary use of archive storage?
  • What is the primary purpose of High Performance Computing in Big Data applications?
  • What distinguishes Apache Beam from other data processing engines?
  • What is the maximum theoretical IO throughput that a client node can achieve given a 25 Gbps NIC connected to 10 Block Volumes?
  • How is the capacity managed when placing instances in fault domains?
  • What type of analysis predicts future outcomes based on historical data?
  • Which type of processing is categorized as a common Big Data workload?
  • What feature allows OCI load balancers to distribute incoming application traffic?
  • A job needs part CPU and part GPU, what shape do you pick?
  • Which aspect of data analytics is characterized by the ability to visualize data seamlessly?
  • Which file system is most suitable for allowing multiple compute instances to read/write data concurrently without any data loss?
  • What is the purpose of machine learning in the context of Big Data?
  • Which technology is integral to handling complex Big Data tasks?
  • What is a key characteristic of big data?
  • What role does a data engineer play in Big Data projects?
  • What role does cloud computing play in big data?
  • In the context of data analytics, what is "descriptive analytics"?
  • What type of notebooks are used in the Oracle Data Science Platform?
  • What is a benefit of using Local NVMe SSDs in OCI?
  • Which of the following is a challenge associated with big data analytics?
  • What is required to view the OEL image after launching it from the Marketplace?
  • High throughput is directly proportional to what factor?
  • In a workload with high I/O, how does latency affect performance?
  • What is Apache Kafka primarily used for in Big Data solutions?
  • What is the minimum block volume size recommended for achieving the highest throughput in a performance block volume with a 1MB block size?
  • Which utility is used for network throughput testing in Linux?
  • During data enrichment, how is raw data improved?
  • What is the approximate latency between two BM.HPC2.36 nodes using RDMA on the same rack?
  • Which compute shape is ideal for Oracle Data Flow when CPU is a priority?
  • What is a common use case for real-time data processing?
  • Which of the following is a method of data ingestion in Big Data?
  • What is the significance of data visualization in Big Data?
  • What is an example of a graph database often used in Big Data analytics?
  • What is the correct progression of steps when using Accelerated Data Science?
  • What is the main advantage of using cloud computing with Big Data?
  • What is the primary protocol used for load balancers?
  • Which load balancing algorithm involves distributing traffic based on the number of active connections?
  • What traffic management tool helps distribute application requests across multiple resources in OCI?
  • What is one of the available shapes for Data Science Notebook Sessions?
  • How does simulation modeling benefit organizations?
  • What is an example of a distributed computing framework besides Hadoop?
  • For cost-efficient, low-risk environments, what HDFS replication factor is recommended?
  • What is one of the storage offerings available to build a filesystem on Oracle Cloud Infrastructure?
  • What is the role of a Data Lake in Big Data architecture?
  • What does the term "data silo" refer to?
  • What is Apache Hive primarily used for?
  • What is a critical function of dashboards tailored for business analytics?
  • What does 'data governance' primarily focus on?
  • Which Big Data technology is known for handling real-time analytics?
  • What are cluster networking built on top of?
  • What is a common challenge customers face with Big Data workloads on-premises?
  • What primary benefit does data clustering offer for Big Data?
  • What factor can increase the cost when processing petabytes of data?
  • What role does variety play in Big Data analysis?
  • What is the best approach to double the capacity of a 3000 core cluster?
  • What does the term "data wrangling" refer to?
  • Which storage type is highly suitable for storing historical data that is infrequently accessed?
  • Which type of workloads are recommended for use with lower cost storage options?
  • What does simulation modeling allow analysts to do in Big Data?
  • Which are recommended storage options on OCI for a Persistent Filesystem of approximately 3TB?
  • Which protocol should be open to access the bastion host?
  • What Big Data Solution is capable of executing Spark-based workloads?
  • Which compute shape possesses the highest total memory per node?
  • Which OCI service helps optimize resource usage based on real-time demand?
  • What are two critical metrics to monitor in file systems?
  • What does "real-time data processing" mean?
  • Name one major cloud service provider that offers Big Data solutions.
  • Which type of autoscaling automatically adjusts based on specified metrics?
  • For optimal performance, what type of storage is recommended for Oracle Data Flow?
  • Name a popular machine learning library used with Big Data.
  • In Big Data modeling, what does "schema on read" mean?
  • What does the term "Big Data" primarily refer to?
  • Which storage option is supported for direct HDFS use in Hadoop on OCI?
  • What type of actions does the TeraSort perform during its execution?
  • What is a significant outcome of using dashboards in analytics?
  • Which MPI distribution is no longer supported on Oracle Cloud Infrastructure (OCI)?
  • Name a popular NoSQL database used for Big Data storage.
  • What type of data is typically enhanced during the data enrichment process?
  • What is the primary function of a dashboard in Big Data analytics?
  • Which network card bandwidth is utilized for connecting to Block Volumes in the described configuration?
  • What is meant by "variety" in the context of Big Data?
  • What does a path route rule in a load balancer help manage?
  • What is the primary use of the VNCViewer?
  • What type of system processing requires low-latency data retrieval?
  • Which of the following Hadoop distributions are supported on Oracle Cloud Infrastructure?
  • Which benefit is NOT typically associated with data visualization dashboards?
  • Why is data visualization considered necessary in data science?
  • How does a Data Warehouse differ from a Data Lake?
  • What does the "Three Vs" of Big Data refer to?
  • What does Amdahl's Law primarily describe?
  • Which OCI component can be configured to access a virtual cloud network securely?
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