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AWS AI Practitioner > ExamTopics > Flashcards

ExamTopics Flashcards

Master all 126 Questions

1
Q

EXPLAINABILITY

A

PDP - PARTIAL DEPENDENCE PLOTS

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2
Q

LEGAL DOCUMENTS STUDY

A

SUMMARIZATION CHATBOT

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3
Q

20 CATEGORIES HUMAN GENES

A

DECISION TREES

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4
Q

PLANT DISEASES

A

ACCURACY

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5
Q

SMALL LLM OUTPUTS WRITTEN IN SPECIFIC LANGUAGE

A

ADJUST THE PROMPT

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6
Q

1GB PROCESSING TIME 1 HOUR NEAR REAL TIME

A

ASYNCHRONOUS INFERENCE

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7
Q

TRAIN LLM BUT NOT FROM SCRATCH

A

TRANSFER LEARNING

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8
Q

EYEWARE

A

HUMAN IN THE LOOP VALIDATION

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9
Q

ENCRYPTION S3 BUCKET - BEDROCK MODEL

A

BEDROCK - ASSUMES THE CORRECT ROLE

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10
Q

EDGE DEVICE LLMS

A

OPTIMIZED SLMS

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11
Q

SHARE AND MANAGE VARIABLES - AMAZON SAGEMAKER

A

SAGEMAKER FEATURE STORE

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12
Q

DEVELOPER PRODUCTIVITY

A

AMAZON Q - SOFTWARE SNIPPETS

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13
Q

NO DATA ALLOWED ON INTERNET

A

AWS PRIVATELINK

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14
Q

GREEN, YELLOW MARBLES PROBABILITY

A

SIMPLE RULES TO CALCULATE

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15
Q

Runtime Efficiency Metrics

A

Average Response Time

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16
Q

CONTACT CENTER CUSTOMER CONVERSATIONS AUDIO FILES ANALYZE.

A

AWS TRANSCRIBE

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17
Q

PETABYTES..AD CAMPAIGN. UNLABELED

A

UNSUPERVISED LEARNING

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18
Q

SEARCH - TEXT AND IMAGES

A

MULTIMODAL EMBEDDING MODEL

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19
Q

FINE TUNE FOUNDATIONAL MODEL

A

LABELED DATA WITH PROMPT FIELD AND COMPLETION FIELD

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20
Q

AI TO PROTECT FROM THREATS, IP - SUSPICIOUS

A

ANOMALY DETECTION

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21
Q

AMAZON OPENSEARCH - VECTOR DATABASE APPS

A

SCALABLE INDEX AND NEAREST NEIGHBOUR SEARCH CAPABILITY

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22
Q

USE CASE OF GENAI

A

PHOTOREALISTIC IMAGES

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23
Q

HOW MUCH INFO CAN FIT INTO ONE PROMPT

A

CONTEXT WINDOW

24
Q

ADHERE TO COMPANY TONE

A

EXPERIMENT AND REFINE THE PROMPT UNTIL DESIRED

25
SENTIMENT ANALYSIS..CLASSIFY AS POSITIVE AND NEGATIVE
POSITIVE AND NEGATIVE LABELS IN PROMPT (FOLLOWED BY NEW TEXT PASSAGE TO BE CLASSIFIED)
26
IDENTIFY UNAUTHORIZED USE
CLOUDTRAIL
27
NO UNDERLYING INFRASTRUCTURE
SAGEMAKER SERVERLESS INFERENCE
28
ISVs - INDEPENDENT SOFTWARE VENDORS
ARTIFACT
29
29..PREVENT EXPOSE SENSITIVE INFORMATION
PROMPT TEMPLATE - DETECT ATTACK PATTERNS
30
security scoping matrix..MOST OWNERSHIP
No THIRD PARTY..CUSTOMER OWNS - FROM SCRATCH
31
ANIMAL PHOTOS...AUTOMATIC DETECTION
OBJECT DETECTION
32
BEDROCK..WITHOUT LONG TERM COMMITMENT..LIMITED BUDGET
ON-DEMAND
33
QUICKLY DEPLOY AND CONSUME FM IN VPC
SAGEMAKER JUMPSTART
34
SECURELY USE BEDROCK
IAM, LEAST PREVILEGE
35
EMPLOYEES..MINIMAL EXPERIENCE
GENERATIVE PRE-TRAINED TRANSFORMERS(gpt)
36
36)NEW OBJECTS detection IN IMAGE USES
INFERENCE
37
BIAS IN THE HUMAN IMAGES...HOW TO ADDRESS
DATA AUGMENTATION FOR IMBALANCED CLASSES
38
TITAN FM..SUPPLEMENT DATA BY COMPANY PRIVATE DATA SOURCES
CREATE BEDROCK KNOWLEDGE BASE
39
MEDICAL COMP. NEEDS TRANSPARENCY TO MEET REGULATORY REQ.
SIMPLE METRICS, REPORTS SAGEMAKER CLARIFY.
40
SAGEMAKER JUMPSTART MODEL..MUST COMPLY MULTIPLE REGULATORY FRAMEWORKS.
THREAT DETECTION DATA PROTECTION
41
INCREASE ACCURACY TO SPECIFIC ACCEPTANCE LEVEL
INCREASE EPOCHS
42
DECREASE NU OF EMPLOYEES.
LOOK AT AHT OR AVERAGE CALL DURATION.
43
AMAZON CLARIFY
ADDRESSES BIAS DURING DATA PREP
44
PREDICT PRICES..NOT WORKING WELL IN PRODUCTION.
INCREASE THE VOL OF DATA USED IN TRAINING.
45
CUSTOMER SENTIMENTS BASED ON CUSTOMER REVIEWS
AMAZON COMPREHEND, BEDROCK
46
PRODUCT MANUALS PDF
UPLOAD TO BEDROCK KNOWLEDGE BASE
47
CONTENT MODERATION - LEAST EFFORT
BENCHMARK DATASETS
48
48)MARKETING CAMPAIGNS..BRAND ALIGNMENT
CREATE EFFECTIVE PROMPTS
49
LOAN COMPANY..DISCOUNTS
DETECT IMBALANCES DISPARITIES, MODEL BEHAVIOR..TRANSPARENCY..STORMY :)
50
IMPROVE SUMMARIZATION QUALITY
BUY PROVISIONED THRUPUT
51
CHOOSE MODEL THAT EMPLOYEES PREFER
HUMAN WORKFORCE
52
STUDENT COPIES GENAI STUFF..PROBLEM
PLAGIARISM
53
EC2 WITH LEAST ENVIRONMENTAL EFFECT
EC2 TRN SERIES
54
STORIES BASED ON CLASSICS STORIES. APPROPRIATE FOR CHILDREN.
GUARDRAILS FOR BEDROCK
55

AWS AI Practitioner (2 decks)

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