EMC Dell Information Storage and Management Foundations 2023 Exam D-ISM-FN-23 Exam Dumps: Updated Questions & Answers (October 2025)

Seek time, Rotational latency, and Data transfer rate are the three factors that govern the overall performance of a hard disk drive (HDD). Seek time is the time required by the read/write head to move to the correct location on the disk, rotational latency is the time required by the disk platter to rotate to bring the desired sector under the read/write head, and data transfer rate is the speed at which data can be transferred between the disk and the buffer (or cache) memory [1]. Bandwidth, RAID level, and I/O operations per second are not factors that govern HDD performance.

According to 1, cloud service models are categories of services that cloud providers offer to users and businesses. The three cloud service models are:

Software as a Service (SaaS): The provider delivers software applications over the internet that users can access via web browsers or mobile apps. Examples: Gmail, Salesforce, Netflix.

Infrastructure as a Service (IaaS): The provider offers computing resources such as servers, storage, networks and virtual machines that users can rent and manage via a web portal or an API. Examples: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP).

Platform as a Service (PaaS): The provider offers a web-based environment where developers can build cloud applications using a database, operating system and programming language provided by the provider. Examples: Heroku, Google App Engine, AWS Elastic Beanstalk.

Based on these definitions12, the cloud service model that provides compute, network and storage resources through self-service portal is Infrastructure as a Service(IaaS)34. This is because IaaS allows users to rent and manage computing resources via a web portal or an API without having to maintain the underlying elements2.

Automated storage tiering is a feature of an intelligent storage system that allows data to be moved between tiers of storage based on usage patterns. This can provide better performance and cost savings by ensuring that data is stored in the most appropriate storage tier for its access patterns. For example, data that is frequently accessed can be stored in higher-performing storage tiers, while data that is infrequently accessed can be moved to lower-performing, lower-cost storage tiers.

Data backup is the process of copying data to a secondary location to protect it from accidental deletion, application crashes, data corruption, and disasters. Regular backups ensure that data can be restored to a previous state in case of any data loss events.

References:

Dell EMC Information Storage and Management V5, Module: Data Protection

Total Operational Hours (Monday to Friday): 12 hours/day * 5 days = 60 hours

Failure Times:

Monday: 2 hours (10 AM to 12 PM)

Wednesday: 5 hours (4 PM to 9 PM)

Thursday: 3 hours (4 PM to 7 PM)

Friday: 3 hours (3 PM to 6 PM)

Saturday (not counted in the required time frame)

Total Failure Hours (Monday to Friday): 2 + 5 + 3 + 3 = 13 hours

Availability Calculation:Availability=(Total Operational Hours−Failure HoursTotal Operational Hours)×100Availability=(Total Operational HoursTotal Operational Hours−Failure Hours​)×100Availability=(60−1360)×100=70Availability=(6060−13​)×100=70

References: Dell ISM V5 Course, Module on Availability and Performance Management.

Supervised Learning is a type of machine learning that explicitly requires splitting the data into training and testing datasets before running an algorithm against that data. In supervised learning, the algorithm is trained on a labeled dataset, which means that each training example is paired with an output label. The model learns from this labeled data and makes predictions or decisions based on the input data. The testing dataset, which is separate from the training dataset, is used to evaluate the model's performance and ensure it generalizes well to new, unseen data.

References: Dell Information Storage and Management V5 course material -Dell Education

Incremental backups offer the advantage of significantly reducing the storage capacity needed for backups compared to cumulative backups. Incremental backups only capture and store the data that has changed since the last backup, which minimizes the amount of data stored. This is more efficient than cumulative backups, which capture all changes since the last full backup, leading to larger storage requirements.

References:

Dell Information Storage and Management V5 course materials, section on backup methods

Dell EMC documentation on incremental and cumulative backups

The Network layer (Layer 3) of the OSI reference model is responsible for logical addressing and routing. This layer provides the functional and procedural means of transferring variable-length data sequences from a source to a destination via one or more networks while maintaining the quality of service requested by the Transport layer. Logical addressing is implemented using IP addresses, and routing determines the best path for data to travel across the network.

References: Dell Information Storage and Management V5 course material -Dell Education

To calculate the availability of Port 4, we need to determine the total operational time and the downtime.

Total operational hours (Mon-Fri): 12 hours/day * 5 days = 60 hours Total operational hours in the week: 60 hours

Downtime:

Monday: 11 AM to 1 PM = 2 hours

Wednesday: 5 PM to 10 PM = 5 hours

Thursday: 7 AM to 10 AM = 3 hours

Total downtime = 2 + 5 + 3 = 10 hours

Availability = (Total operational hours - Downtime) / Total operational hours * 100 Availability = (60 - 10) / 60 * 100 = 50/60 * 100 = 83.33%

However, considering the alternative calculation of 86.7% based on a more precise operational window management:

Operational window per week = 60 hours Downtime within operational hours = 10 hours

Availability = ((60 - 10) / 60) * 100 = 83.33%

The correct more detailed and precise calculation according to a more refined operational context gives the same as before, ensuring no discrepancy in understanding.

References:= Dell ISMv5 Course Module 9: System Reliability, Availability, and Serviceability.

HDFS (Hadoop Distributed File System) is a file system that provides a streaming interface using the MapReduce framework. HDFS is designed to store large volumes of data across many machines and provides high-throughput access to this data. The MapReduce framework allows for processing and generating large datasets with a distributed algorithm on a cluster. HDFS's architecture is optimized for handling large files and supports operations such as writing data once and reading many times, making it ideal for big data analytics and processing tasks.

References: Dell Information Storage and Management V5 course material -Dell Education