Module 5 ā 100 MultipleāChoice Questions
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1
The primary strategic value of AI for businesses isā¦
AI converts raw data into insights and decisions.
2
Which is a common AI use in marketing?
Models rank prospects by likelihood to convert.
3
Personalization engines primarily improveā¦
Right offer, right moment increases revenue per user.
4
Chatbots best serveā¦
Automate FAQs; escalate complex cases to humans.
5
A risk of AI isā¦
Mitigate with governance, audits, and explainability.
6
Demand forecasting with AI helps byā¦
Predict to reduce stockouts and overstock.
7
āHumanāinātheāloopā meansā¦
Blend automation with expert review.
8
Dynamic pricing models adjust prices usingā¦
Dataādriven pricing maximizes revenue and margin.
9
AI sentiment analysis detectsā¦
Use to triage support and prioritize outreach.
10
For nonātechnical teams, AI access improved viaā¦
APIs and SaaS democratize AI capability.
11
Business Process Automation mainly aims toā¦
Eliminate friction to free people for higherāvalue work.
12
Before automating a process, firstā¦
Donāt scale chaosāfix process, then automate.
13
A hidden benefit of automation isā¦
Standardization raises reliability and trust.
14
RPA tools typically automateā¦
Robotic Process Automation mimics human clicks and entries.
15
In HR, automation best fitsā¦
Automate admin; keep human touch for development.
16
Marketing automation enablesā¦
Right message at the right time at scale.
17
A KPI to quantify automation value isā¦
Time saved converted to dollar savings/ROI.
18
Risk of bad automation isā¦
Bad rules can propagate mistakes fast.
19
Best governance pattern isā¦
COE ensures security, maintainability, and ROI.
20
Lowācode platforms help byā¦
Empowers domain experts under guardrails.
21
Descriptive analytics answersā¦
Describe the past with summaries and dashboards.
22
Predictive analytics focuses onā¦
Forecast demand, churn, and risks.
23
Prescriptive analyticsā¦
Suggests decisions to maximize outcomes.
24
A vanity metric example isā¦
Measure what ties to value, not noise.
25
A/B testing requiresā¦
Isolate impact and ensure statistical power.
26
Attribution modeling estimatesā¦
Assign credit across touchpoints.
27
A data culture meansā¦
Make data accessible, reliable, and discussed.
28
Data governance protectsā¦
Policies ensure trust in data use.
29
Cohort analysis helps toā¦
Compare groups by start date or event.
30
A northāstar metric should beā¦
Tie the business to one meaningful outcome.
31
Social commerce enablesā¦
Frictionless ināapp purchases on social platforms.
32
AR tryāon reducesā¦
Visualizing fit lowers uncertainty.
33
A key mobileāfirst practice isā¦
Optimize speed, clarity, and taps.
34
Subscription models benefit byā¦
Predictable cash flow and higher LTV.
35
āBuy Now, Pay Laterā impactsā¦
Lift conversion but manage credit risk and fees.
36
Headless commerce separatesā¦
Frontāend freedom with APIādriven backāend.
37
A key logistics edge isā¦
Speed and reliability win repeat business.
38
Personalization wins byā¦
Tailor experience to user context.
39
Rising ad costs push stores toā¦
Email/SMS/loyalty improve unit economics.
40
Crossāborder selling requiresā¦
Meet local expectations to maximize conversion.
41
A blockchain isā¦
Records are shared and immutable across nodes.
42
Smart contracts areā¦
Agreements that autoāenforce when criteria are met.
43
A benefit of blockchain in supply chains isā¦
Track item origins and custody changes.
44
Tokenization enablesā¦
Represent real assets as digital tokens.
45
Public vs private chains differ mainly byā¦
Who can read/write/validate transactions.
46
A key risk in blockchain projects isā¦
Design with compliance and security in mind.
47
Consensus mechanisms secure networks byā¦
Incentives + math prevent tampering.
48
Enterprise use cases often preferā¦
Control participation and privacy.
49
Stablecoins areā¦
Used for payments/settlement with lower volatility.
50
Blockchainās business value largely stems fromā¦
Reduce reconciliation and counterparty risk.
51
Key cloud advantage isā¦
Scale up/down with traffic and growth.
52
IaaS providesā¦
Base layer of cloud building blocks.
53
SaaS providesā¦
Readyātoāuse applications online.
54
A risk of singleācloud dependence isā¦
Consider multi/hybrid strategies.
55
CapExāOpEx shift meansā¦
Cashāflow friendly scaling.
56
Global CDNs improveā¦
Serve users from nearby edges.
57
Serverless is best forā¦
Autoāscales per request, billing per execution.
58
Security remains aā¦
You secure configs, identities, data.
59
Infrastructure as Code helps byā¦
Codify infra for consistency and speed.
60
Cloud cost control needsā¦
Use FinOps tactics to optimize spend.
61
CIA triad stands forā¦
Three pillars of information security.
62
Most breaches start withā¦
Train staff and use MFA to reduce risk.
63
MultiāFactor Authentication addsā¦
Something you know/have/are.
64
Ransomware defense includesā¦
Recovery readiness limits damage.
65
Least privilege meansā¦
Reduce blast radius of compromises.
66
Patch management is critical becauseā¦
Unpatched systems are easy targets.
67
Zeroātrust assumesā¦
Continuously authenticate and authorize.
68
Incident response plans should includeā¦
Preparedness shortens detection and recovery.
69
Compliance like GDPR matters becauseā¦
Protects data subjects and brand trust.
70
Security awareness programs should beā¦
People are the first line of defense.
71
Design Thinking begins withā¦
Understand users before solutions.
72
Lean Startup emphasizesā¦
Iterate fast with real customer feedback.
73
StageāGate does what?
Structured checkpoints across the lifecycle.
74
A product/market fit sign isā¦
Customers return and tell others.
75
Working Backwards starts withā¦
Clarifies value before building.
76
Innovation accounting tracksā¦
Quantify progress before revenue appears.
77
A pitfall isā¦
Anchor on the customer problem, not pet ideas.
78
Killācriteria in experimentsā¦
Preācommit to decisions based on data.
79
Dualātrack agile separatesā¦
Explore and ship in parallel.
80
An innovation portfolio shouldā¦
Diversify risk/return across horizons.
81
A CRM helps service byā¦
Context enables faster, personalized help.
82
Omnichannel meansā¦
Customers donāt repeat themselves when switching.
83
Selfāservice portalsā¦
Good knowledge bases cut resolution times.
84
First response time and CSAT areā¦
Speed and satisfaction drive retention.
85
AI assistants in support canā¦
Automate the common; escalate the rare.
86
Proactive support usesā¦
Prevent issues before customers feel pain.
87
Service to sales handoff requiresā¦
Respectful upsell from solved problems builds value.
88
Quality assurance (QA) in support reviewsā¦
Coaching raises consistency and outcomes.
89
SLA stands forā¦
Target response/resolve times per tier.
90
Deflection done right feels likeā¦
Users get solutions faster with less effort.
91
Market disruption occurs whenā¦
Innovations overturn incumbents and habits.
92
A core antiāfragility tactic isā¦
Build flexibility to benefit from volatility.
93
Scenario planning helps leadersā¦
Think in ranges, not single forecasts.
94
A ātechnology watchlistā tracksā¦
Stay ahead of waves you might ride or evade.
95
Incumbents lose whenā¦
Fear of cannibalization blocks evolution.
96
A pilot programās purpose isā¦
Test cheaply; scale what works.
97
Ecosystem partnershipsā¦
Alliances accelerate adoption and learning.
98
Culture that beats disruption isā¦
People must feel safe to try new things.
99
Leading indicator of disruption risk isā¦
Watch users and insurgents, not just financials.
100
To turn disruption into growthā¦
Choose the strategy that turns the wave into momentum.