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Microsoft Azure Data Fundamentals DP-900/Acronyms/Part 3

Acronym study

DP-900 Acronyms — Part 3 of 5

Terms 61–90 of 136 DP-900 acronyms and key terms. Each entry includes a plain-English definition and a link to the full 800-word glossary page with exam context and practice questions.

← Part 2Part 3 of 5Part 4 →

Term 61

ElastiCache

Amazon ElastiCache is a fully managed, in-memory caching service that speeds up data retrieval from databases and applications by storing frequently accessed data in memory.

Full entry →
Full ElastiCache glossary entry →

Term 62

ELT

ELT (Extract, Load, Transform) is a data integration process where raw data is extracted from source systems, loaded directly into a target system like a data lake or warehouse, and then transformed as needed for analysis.

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Full ELT glossary entry →

Term 63

Encryption at rest

Encryption at rest is the practice of securing stored data by converting it into an unreadable format using cryptographic algorithms, so that even if physical or digital access to the storage medium is obtained, the data remains confidential.

Full entry →
Full Encryption at rest glossary entry →

Term 64

Encryption in transit

Encryption in transit is the process of scrambling data as it moves between two points over a network so that anyone who intercepts it cannot read it.

Full entry →
Full Encryption in transit glossary entry →

Term 65

Error Reporting

Error Reporting is the automated process of capturing, logging, and notifying relevant systems or personnel about errors that occur in software, hardware, or network components to facilitate diagnosis and resolution.

Full entry →
Full Error Reporting glossary entry →

Term 66

ETL

ETL stands for Extract, Transform, Load, a process that moves data from multiple source systems into a single database, data warehouse, or data lake for analysis and reporting.

Full entry →
Full ETL glossary entry →

Term 67

Event Hub

Event Hub is a cloud-based data streaming service that ingests and processes millions of events per second from devices, applications, or systems in real time.

Full entry →
Full Event Hub glossary entry →

Term 68

Filestore

Google Cloud Filestore is a managed file storage service that lets you mount a network file system (NFS) to multiple virtual machines simultaneously, just like a shared folder on an office network.

Full entry →
Full Filestore glossary entry →

Term 69

Foreign key

A foreign key is a column or set of columns in a database table that links to the primary key of another table, ensuring relational integrity between the two.

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Full Foreign key glossary entry →

Term 70

FSx

Amazon FSx is a fully managed Windows file server and Lustre file system service that provides native file storage for Windows workloads and high-performance computing (HPC) in the AWS cloud.

Full entry →
Full FSx glossary entry →

Term 71

Global table

A global table is a single database table that is automatically replicated across multiple geographic regions, allowing applications to read and write data with low latency from anywhere in the world.

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Full Global table glossary entry →

Term 72

Index

An index is a data structure that speeds up data retrieval operations on a database table or file, much like a book index helps you find topics quickly.

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Full Index glossary entry →

Term 73

Ingress

Ingress is a Kubernetes API object that manages external access to services within a cluster, typically via HTTP or HTTPS routing rules.

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Full Ingress glossary entry →

Term 74

Instance store

Instance store is temporary, block-level storage physically attached to a cloud virtual machine that provides high performance but loses all data when the instance is stopped or terminated.

Full entry →
Full Instance store glossary entry →

Term 75

IoT Hub

IoT Hub is a managed cloud service in Azure that acts as a central message hub for secure, bidirectional communication between IoT devices and the cloud.

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Full IoT Hub glossary entry →

Term 76

Kubernetes cluster

A set of machines, called nodes, that work together to run and manage containerized applications using Kubernetes orchestration software.

Full entry →
Full Kubernetes cluster glossary entry →

Term 77

Linked service

A linked service is a connection definition in Azure Data Factory or Azure Synapse that tells the service how to connect to an external data source or compute resource.

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Full Linked service glossary entry →

Term 78

Looker Studio

Looker Studio is a cloud-based data visualization and business intelligence platform that lets you create interactive dashboards and reports from various data sources.

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Full Looker Studio glossary entry →

Term 79

Managed identity

A managed identity is an automatically managed service principal in Azure that allows your code to authenticate to any service that supports Azure AD authentication without storing credentials.

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Full Managed identity glossary entry →

Term 80

Mapping data flow

Mapping data flow is the process of visually or programmatically defining how data moves from source to destination, including transformations and processing steps, within Azure data services.

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Full Mapping data flow glossary entry →

Term 81

Memcached

Memcached is a high-performance, distributed memory caching system that speeds up dynamic web applications by storing data in RAM to reduce database load.

Full entry →
Full Memcached glossary entry →

Term 82

Memorystore

A fully managed in-memory data store service that provides Redis and Memcached for caching, session storage, and real-time data processing.

Full entry →
Full Memorystore glossary entry →

Term 83

Microsoft Purview

Microsoft Purview is a unified data governance and compliance service that helps organizations discover, manage, and protect their data across on-premises, cloud, and hybrid environments.

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Full Microsoft Purview glossary entry →

Term 84

Multi-AZ RDS

Multi-AZ RDS is a database deployment option that automatically maintains a synchronous standby replica in a different Availability Zone to provide high availability and automatic failover.

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Full Multi-AZ RDS glossary entry →

Term 85

Neptune

Neptune is a fully managed database service by AWS designed specifically for graph database workloads, using property graph and RDF models.

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Full Neptune glossary entry →

Term 86

Node pool

A node pool is a group of virtual machines (nodes) within a container orchestration cluster that share the same configuration, such as machine size, operating system, and scaling settings, allowing you to manage them as a single unit.

Full entry →
Full Node pool glossary entry →

Term 87

Non-relational database

A non-relational database is a type of database that stores data in flexible formats like documents, key-value pairs, graphs, or wide-columns, rather than the rigid tables and rows used in relational databases.

Full entry →
Full Non-relational database glossary entry →

Term 88

Normalization

Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity by dividing large tables into smaller, related tables and defining relationships between them.

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Full Normalization glossary entry →

Term 89

OLAP

OLAP (Online Analytical Processing) is a computing approach that enables users to quickly and interactively analyze multidimensional data from multiple perspectives for business intelligence and decision support.

Full entry →
Full OLAP glossary entry →

Term 90

OLTP

OLTP (Online Transaction Processing) is a data processing system designed to manage and record high volumes of real-time transactions, such as bank deposits or online purchases, quickly and reliably.

Full entry →
Full OLTP glossary entry →
← Part 2Part 4 →

Acronym parts

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Study resources

All DP-900 Acronyms→DP-900 Practice Tests→DP-900 Study Guide→Exam Domains→