Account Technical Lead

Question 1

ISDC

Answer 1

IBM Security Discover and Classify

Question 2

DORA

Answer 2

Digital Operational Resilience Act

Question 3

DORA

Answer 3

The Digital Operational Resilience Act, or DORA, is a European Union (EU) regulation that creates a binding, comprehensive information and communication technology (ICT) risk management framework for the EU financial sector.

Question 4

ICT

Answer 4

Information and communication technology

Question 5

1touch.io, provider of Inventa™

Answer 5

1touch.io, provider of Inventa™, an AI-based sustainable data discovery and classification platform for sensitive personally identifiable information (PII) data, announced today that it and IBM Security have entered into an OEM partnership to offer the Inventa platform as IBM Security Discover and Classify later this month. This will enable IBM Security to continue to bring advanced sensitive PII data discovery and classification for data-at-rest and data-in-motion to the market, helping to solve customers’ toughest data security and data privacy challenges.

Question 6

CTI

Answer 6

Counter Threat Intelligence

Question 7

CDC

Answer 7

Change Data Capture
Change data capture (CDC) refers to the tracking of all changes in a data source (databases, data warehouses, etc.) so they can be captured in destination systems. In short, CDC allows organizations to achieve data integrity and consistency across all systems and deployment environments.

Question 8

IDAA

Answer 8

IBM Db2® Analytics Accelerator
is a high-performance component tightly integrated with Db2 for z/OS®. It delivers high-speed processing of complex Db2 queries to support business-critical reporting and analytic workloads. The Db2 Analytics Accelerator has helped improve the performance of thousands of Db2 for z/OS applications and systems of insight and is a key enabler for data access modernization. It can be deployed on IFLs (IBM Integrated Facility for Linux) on zSystems or LinuxONE.

Question 9

IMS

Answer 9

IBM Information Management System (IMS)
is a hierarchical database and information management system that supports transaction processing. It is available on z/OS.

IMS is a database-driven, secure, integrated platform for high-performance online transaction and data processing that delivers on the security, flexibility, and scalability of IBM zSystems™ that’s critical to support your business.

IMS is at the forefront of your enterprise, hosting applications that can process billions of transactions per day while providing the capabilities to extend the functionality of existing applications by linking them to modern tools and emerging technologies.

Question 10

VSAM

Answer 10

Virtual Storage Access Method
(VSAM)[1] is an IBM direct-access storage device (DASD) file storage access method, first used in the OS/VS1, OS/VS2 Release 1 (SVS) and Release 2 (MVS) operating systems, later used throughout the Multiple Virtual Storage (MVS) architecture and now in z/OS. Originally a record-oriented filesystem,[NB 2] VSAM comprises four[NB 2] data set organizations:
1. key-sequenced (KSDS),
2. relative record (RRDS),
3. entry-sequenced (ESDS) and
4. linear (LDS).[2] The KSDS, RRDS and ESDS organizations contain records, while the LDS organization (added later to VSAM) simply contains a sequence of pages with no intrinsic record structure, for use as a memory-mapped file (Wikipedia)

1.

Question 11

Terradata

Answer 11

**Teradata **offers three primary services to its customers:
* 1. cloud and hardware-based data warehousing,
* business analytics, and
* consulting services.[50]
In September 2016, the company launched Teradata Everywhere, which allows users to submit queries against public and private databases. The service uses massively parallel processing across both its physical data warehouse and cloud storage, including managed environments such as Amazon Web Services, Microsoft Azure, VMware, and Teradata’s Managed Cloud and IntelliFlex.[51][52] Teradata offers customers both hybrid cloud and multi-cloud storage.[53] In March 2017, Teradata introduced Teradata IntelliCloud, a secure managed cloud for data and analytic software as a service. IntelliCloud is compatible with Teradata’s data warehouse platform, IntelliFlex.[54] The Teradata Analytics Platform was unveiled in 2017.[55

Question 12

Snowflake

Answer 12

Snowflake Inc. is an American cloud computing–based data cloud company.
The firm offers a cloud-based data storage and analytics service, generally termed “data-as-a-service”.[4][5] It allows corporate users to store and analyze data using cloud-based hardware and software. Snowflake services main features are separation of storage and compute, on-the-fly scalable compute, data sharing, data cloning, and third-party tools support in order to scale with its enterprise customers.[6] It has run on Amazon Web Services since 2014,[2] on Microsoft Azure since 2018[7] and on the Google Cloud Platform since 2019.[8][9

Question 13

Netezza

Answer 13

IBM Netezza designs and markets high-performance data warehouse appliances and advanced analytics applications for the most demanding analytic uses including enterprise data warehousing, business intelligence, predictive analytics and business continuity planning.
In August 2023, IBM Netezza picked up a table format from Apache Iceberg which would extend the reach of Netezza capabilities into a data lake house.[14]. Furthermore it’s integration with IBM watsonx.data (released in 2023) allows it to become a unique, hybrid compute engine based data lake house solution, the next generation data store, extending it’s strategic importance even further.

Question 14

IBM DataGate

Answer 14

IBM DataGate, including its specific deployment IBM Data Gate on Cloud, is a cloud-based solution designed for synchronizing and externalizing data from IBM Db2 for z/OS databases to cloud environments. This allows applications hosted in the cloud to access up-to-date mainframe data efficiently, supporting modern data architectures and initiatives such as analytics and AI.

Data Gate on Cloud operates on Amazon Web Services (AWS) and integrates with IBM’s Db2 Warehouse on Cloud. It uses a continuous replication mechanism to ensure that the data remains current without impacting the performance of the source Db2 for z/OS system. The architecture of Data Gate on Cloud includes several components such as a Db2 for z/OS source database, stored procedures running on IBM Z, a Red Hat OpenShift cluster on AWS, and a secure network connection for data synchronization​ (IBM - United States)​.

This solution is particularly suited for scenarios where high-throughput and low-latency are critical, and it offers transactional consistency. It’s optimized for scenarios where data needs to be co-located with cloud applications, thus minimizing delays and resource use on the mainframe​ (IBM - United States)​.

Question 15

Db2

Answer 15

IBM® Db2®
is the cloud-native database built to power low-latency transactions and real-time analytics at scale. Built on decades of innovation in data security, scalability and availability, you can use Db2 to keep your applications and analytics protected, highly performant and resilient, anywhere.

It provides a single engine for DBAs, enterprise architects and developers to:

Run critical applications.
Store and query data.
Enable faster decision-making.
Drive innovation across organizations.

Question 16

DVM

Answer 16

Integration point for DataStage
IBM® Data Virtualization Manager for z/OS® provides virtual, integrated views of data located on IBM Z®. It enables users and applications to have read and write access to IBM Z data in place, without having to move, replicate or transform the data.

Data Virtualization Manager for z/OS facilitates the integration of independently designed data structures, allowing them to be used together while incurring minimal additional processing costs. Traditional data movement approaches can negatively impact the opportunity to benefit from data where and when it is needed. By unlocking IBM Z data using popular, industry-standard APIs, like SQL, Data Virtualization Manager for z/OS you can save time and money.

Question 17

Fusion HCI

Answer 17

IBM Fusion HCI, or Hyper-Converged Infrastructure, is a comprehensive solution designed to simplify the deployment and management of containerized applications using IBM’s hybrid cloud capabilities. The system integrates Red Hat OpenShift with advanced data services and computing infrastructure, making it particularly suitable for running enterprise-grade container and AI workloads.

The key features of IBM Fusion HCI include:

• All-in-one system: Fusion HCI combines compute, storage, and network into a unified system optimized for Red Hat OpenShift environments. It is designed to facilitate the fast deployment, scaling, and management of containerized applications across hybrid cloud environments.
• Enhanced data services: It offers robust data services such as automated backup, optimization, security, and protection, crucial for mission-critical applications.
• Streamlined management: IBM Fusion HCI aims to reduce complexity by providing a single management interface for Kubernetes environments across local and remote data centers and hybrid clouds. This simplifies the operation and scaling of applications from development through to production.
• Support for AI and ML workloads: The system is equipped with hardware options like NVIDIA A100 GPUs to support AI and ML operations, making it well-suited for data-intensive tasks.
• Global Data Platform: It includes IBM’s Global Data Platform which provides a unified data management layer that spans from edge to core to cloud, thereby enhancing data mobility and accessibility.
  IBM Fusion HCI is positioned as a turnkey solution that addresses the operational complexities of managing container environments while supporting the rapid delivery and scalability of modern applications​

Question 18

CTI

Answer 18

Citi Technology Infrastructure