HPC Big Data Veteran Deck Practice Test

These questions are part of the practice quiz. Start practicing

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