Complete the code to identify the consistency model used in microservices.
if system.consistency == '[1]': print("Updates will be visible eventually.")
Eventual consistency means updates will be visible after some time, not immediately.
Complete the code to implement a retry mechanism for eventual consistency.
def update_service(data): try: send_update(data) except [1]: retry_later(data)
TimeoutError is common when a service is temporarily unavailable, so retrying later helps eventual consistency.
Fix the error in the code that handles event ordering for eventual consistency.
def process_event(event): if event.timestamp [1] last_processed_timestamp: apply_event(event) last_processed_timestamp = event.timestamp
Using '>' ensures only newer events are processed, preserving order for eventual consistency.
Fill both blanks to create a dictionary comprehension that filters events newer than a timestamp.
filtered_events = {e.id: e for e in events if e.timestamp [1] cutoff_timestamp and e.status [2] 'pending'}We want events with timestamp greater than cutoff and status exactly 'pending'.
Fill all three blanks to build a dictionary comprehension that maps event keys to values for confirmed events after a timestamp.
confirmed_events = {event.[1]: event.[2] for event in event_list if event.[3] > last_sync_time}We map event keys to values for events with timestamp greater than last sync time.