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Test Number : C2090-610
Test Name : DB2 10.1 Fundamentals
Vendor Name : IBM
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Exam Title : IBM Certified Database Associate - DB2 10.1 Fundamentals
Exam ID : C2090-610
Exam Duration : 90 mins
Questions in test : 69
Passing Score : 66%
Official Training : DB2 SQL Workshop
DB2 Family Fundamentals
Exam Center : Pearson VUE
Real Questions : IBM DB2 Fundamentals Real Questions
VCE practice test : IBM C2090-610 Certification VCE Practice Test

- Knowledge of DB2 products (z/OS vs LUW vs pureScale - at a high-level; different products and what they do)
- Knowledge of database workloads (appropriate DB2 product to use - OLTP vs warehousing)
- Knowledge of non-relational data concepts (XML data, LOB data) 10%
- Knowledge of restricting data access
- Knowledge of different privileges and authorities
- Given a DCL SQL statement, knowledge to identify results (grant/revoke/connect statements)
- Knowledge of Row and Column Access Control (RCAC)
- Knowledge of Roles and Trusted Contexts 15%
Working with Databases and Database Objects
- Ability to create and connect to DB2 servers and databases (requirements to supply ability to connect)
- Ability to identify DB2 objects
- Knowledge of basic characteristics and properties of DB2 objects
- Given a DDL SQL statement, knowledge to identify results (ability to create objects)
- Knowledge of Temporal (Time Travel) Tables - System-period, Application-period, and Bi-temporal - ability to create (Greater precision time stamps) 20%
Working with DB2 Data using SQL
- Ability to use SQL to SELECT data from tables
- Ability to use SQL to SORT or GROUP data
- Ability to use SQL to UPDATE, DELETE, or INSERT data
- Knowledge of transactions (i.e., commit/rollback and transaction boundaries)
- Ability to create and call an SQL supported procedure or a user defined function (understanding of passing parameters and results)
- Given an XQuery statement, knowledge to identify results
- Knowledge of Temporal (Time Travel) Tables - System-period, Application-period, and Bi-temporal - ability to query 20%
Working with DB2 Tables, Views and Indexes
- Ability to demonstrate usage of DB2 data types (XML data types, Oracle compatibility data types)
- Given a situation, ability to create a temporary table
- Knowledge to identify when referential integrity should be used
- Knowledge to identify methods of data constraint
- Knowledge to identify characteristics of a table, view or index
- Knowledge to identify when triggers should be used
- Knowledge of schemas 22%
Data Concurrency
- Knowledge to identify factors that influence locking
- Ability to list objects on which locks can be obtained (lock table)
- Knowledge to identify characteristics of DB2 locks (common locks shared across platforms)
- Given a situation, knowledge to identify the isolation levels that should be used (currently committed) 13%

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IBM Fundamentals education

records Science & artificial Intelligence | C2090-610 PDF get and Real test Questions

IBM and Binghamton University logos      information Science & synthetic Intelligence virtual Workshop - learn how statistics science and synthetic intelligence (AI) can add cost to your business or firm.  

during this free three-day workshop, you can be able to have interaction with IBM and SUNY technical leaders in the records Science and synthetic Intelligence career. you are going to hear from SUNY and IBM certified on issues including: business 4.0, business have an impact on (ROI), Ethics, massive information and facts Analytics. The workshop can be cut up between talks and palms-on labs and every day will conclusion with a mp;A panel session. The workshop will culminate with a panel discussion on "the way to get began with AI"

  • can charge: FREE

  • DATE: Jan. 26-28                                            

  • TIME: 9 a.m. - 12:30 p.m.            

  • vicinity: reside virtual on Zoom. a meeting hyperlink may be despatched to members.

  • WHO CAN ATTEND: This workshop is intended for business experts, tutorial students and college students with activity in rising statistics science and machine learning/synthetic intelligence (AI).


  • contributors who attend all three days will acquire a workshop completion certificates for 1.0 carrying on with schooling contraptions (1.0 CEU = 10 academic contact hours). 

  • All individuals will receive free e-books, whitepapers and IBM Cloud services for a ninety-day free trial.

  • All members should be entered right into a contest for a free online statistics Science or desktop Science direction of their alternative delivered through Watson continuing expert education.

  • AGENDA (more details on the labs and panel periods in the distinct printable agenda below)

    Day 1 (Tuesday Jan. 26, 2021)

    09:00 AM - 09:15 AM Welcome by M. Testani and M. O’Malley-Trumble (Endicott,IBM)09:15 AM - 10:00 AM Keynote: Dr. Ben Amaba, CTO, IBM "Why is AI an business quintessential and what are many ways it is benefiting the final analysis?"10:00 AM – 11:45 PM Lab 1 and 2: Catalogs and tasks, facts Engineering, records Refinery11:45 PM - 12:30 PM Panel Session 1: moral concerns for DS & AI

    Day 2 (Wednesday, Jan. 27, 2021)09:00 AM – 09:45 AM Keynote: Dr. Sangwon Yoon, Professor, SSIE, Binghamton university“business four.0: sensible Electronics Manufacturing using DS/AI”10:00 AM – eleven:forty five PM Lab three: statistics Science and machine Learning11:45 PM - 12:30 PM Panel Session 2: trade four.0

    Day three (Thursday, Jan. 28, 2021)09:00 AM - 9:45 AM Dr. Sreekanth Ramakrishnan, STSM and strategy leader, IBM "improving business performance and the client adventure through information Science & AI"10:00 AM - eleven:30 PM Lab 4: construct a supply Chain Optimization application11:30 PM - 12:30 PM Panel Session three: “a way to get started with AI”

    *greater details in Agenda

    designated AGENDA


    WHY IS facts SCIENCE essential

    Many CEOs, CTOs and different determination-makers are seeing an potential from the upward push of massive records and quicker computing power. The question arises: How can all this extraordinary facts drive innovation? Being capable of harness the power of statistics via records science can support to accelerate economic, income, manufacturing and supply-chain operations; enable a stronger, greater intimate consumer experience; or reduce downtime.

    for many manufacturing flora with capital intensive machine and rising labor fees, downtime isn't an choice. Predictive and preventative models will also be utilized to mitigate downtime, offset losses and allow safer working environments.

    AI and computer gaining knowledge of also can support pressure better quicker products to market. as an instance, when launching a new product or service, it will also be imperative to use records analytics for perception on market, demand and the target demographics.

    AI and machine getting to know are being adopted at a speedy pace. McKinsey estimates that AI might potentially bring extra financial output of round $13 trillion through 2030, boosting international GDP by means of about 1.2 p.c a year.

    WORKSHOP issues
  • the usage of predictive maintenance to enhance equipment uptime
  • How can AI raise the human-computer interaction (HCI)
  • using artificial Intelligence to reduce scrap and more suitable control materials
  • give Chain optimization and prescriptive chance management
  • the usage of AI to Boost the consumer experience
  • Converging synthetic Intelligence (AI) and business 4.0 (i4.0)
  • Ethic and artificial Intelligence
  • a way to beginning your AI event
  • KEYNOTE speakers Ben Amaba:  CTO Industrial Sector, DS & AI, IBM "Why is AI an trade vital and what are many ways it is benefiting the final analysis?"

    Sreekanth Ramakrishnan Photo 

    Sreekanth Ramakrishnan: STSM method Lead, IBM Z "enhancing enterprise performance and the consumer journey via records science & AI"

    sangwon yoon

    Sangwon Yoon: Professor, SSIE, Binghamton institution.  “business 4.0: smart Electronics Manufacturing the usage of DS/AI” PANEL periods AND PANELISTS

    There might be a panel session day after day with selected panelists. The issues, panelists and instances are:

    Panel 1: moral issues for DS & AI (1/26, eleven:45 at 12:30 pm)

    Daehan gained: Professor, SSIE, Binghamton school (1)Jake Brodsky: SCADA and ICS safety engineer (1)Philip Laplante: Professor, utility and techniques Engineering, Penn State university (1)Dale Mumper: facts Science & Visualization Technical expert, Industrial Sector, IBM (1)Ben Amaba: PhD, PE, CPIM®, LEED®AP, CTO Industrial Sector, facts Science & AI, IBM (1)

    Panel 2: business 4.0 (1/27, eleven:45 am at 12:30 pm)

    Sangwon Yoon: Professor, SSIE, Binghamton school (2)Yong Wong: Professor, SSIE, Binghamton institution (2)Jeff Daniels: Director company Transformation & techniques Modernization intelligent manufacturing facility, Asset Intelligence,Manufacturing Execution techniques, and Product Lifecycle administration, Lockheed Martin (2)Mike McMahon: AI & facts Science Technical Lead, Industrial Sector, IBM (2)Jesse Slater: Cloud and Cognitive software Cloud Pak Accelerations crew statistics Scientist, IBM storage (2)

    Panel 3: how to get all started with AI (1/28, 11:30 am at 12:30 pm)

    Kenneth Chiu: Professor, desktop Science, Binghamton university (3)Bing Si: Professor, SSIE, Binghamton college (three)Andrei S. Popa: Supervisor Reservoir administration at Chevron and Adjunct affiliate Professor at school ofSouthern California: Viterbi college of Engineering. (three)Jeffrey Baetz: world trade CTO, Industrial marketplace for facts, AI, ML and facts Science Elite, IBM (3)Sreekanth Ramakrishnan: STSM and approach leader, IBM (3)

    arms-ON LABS (details on lab subject matters on page three in Agenda

    statistics is everywhere nowadays and companies are searching for extra the right way to differentiate themselves via inspecting that information. initiatives can directly become advanced and overmanaged as more roles are delivered, corresponding to records engineer, facts steward, analysts, data scientists, and administrative personnel. in this sequence of labs they are able to execute arms-on labs workout routines displaying new ways to each analyze records and manage analytics projects. The illustration use case that varieties the history of the workouts is in accordance with analyzing streaming records to benefit perception on equipment performance. you'll apply records governance to help analysts locate and use data successfully and invariably. you are going to then use that facts to create computing device studying predictive fashions that will also be used in functions to help inform company decisions. Insights for how to effectively execute your own analytics tasks may be shared all through the periods.

    Mike McMahon Photo 

    Mike McMahon: AI & records Technical Lead, IBM

    Dale Mumper Photo 

    Dale Mumper: facts Science & Visualization Technical expert, IBM

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