During a code review of the new user profile API, Sarah notes: 'The response latency is consistently above 200ms for this endpoint – we need to investigate whether this impacts our data SLA.' Which of the following best describes the *implication* of Sarah's comment within the context of a data service agreement?
Sarah's statement highlights a critical concern: response time. An SLA typically defines acceptable latency thresholds for service requests – in this case, the user profile API. Exceeding 200ms consistently could be a breach of the agreement, triggering consequences like performance improvements or adjustments to the SLA itself. The key here is understanding that 'latency' directly relates to data access speed and therefore impacts SLAs.
7 / 14
git diff --cached main.js
During a code review of the new user profile API, Sarah notes: 'The response latency is consistently above 200ms for this endpoint – we need to investigate whether this impacts our data SLA.' Which of the following best describes the *implication* of Sarah's comment within the context of a data service agreement?
Sarah's statement highlights a critical concern: response time. An SLA typically defines acceptable latency thresholds for service requests – in this case, the user profile API. Exceeding 200ms consistently could be a breach of the agreement, triggering consequences like performance improvements or adjustments to the SLA itself. The key here is understanding that 'latency' directly relates to data access speed and therefore impacts SLAs.
8 / 14
git diff --cached main.js
During a code review of the new user profile API, Sarah notes: 'The response latency is consistently above 200ms for this endpoint – we need to investigate whether this impacts our data SLA.' Which of the following best describes the *implication* of Sarah's comment within the context of a data service agreement?
Sarah's statement highlights a critical concern: response time. An SLA typically defines acceptable latency thresholds for service requests – in this case, the user profile API. Exceeding 200ms consistently could be a breach of the agreement, triggering consequences like performance improvements or adjustments to the SLA itself. The key here is understanding that 'latency' directly relates to data access speed and therefore impacts SLAs.
9 / 14
git diff --cached main.js
During a code review of the new user profile API, Sarah notes: 'The response latency is consistently above 200ms for this endpoint – we need to investigate whether this impacts our data SLA.' Which of the following best describes the *implication* of Sarah's comment within the context of a data service agreement?
Sarah's statement highlights a critical concern: response time. An SLA typically defines acceptable latency thresholds for service requests – in this case, the user profile API. Exceeding 200ms consistently could be a breach of the agreement, triggering consequences like performance improvements or adjustments to the SLA itself. The key here is understanding that 'latency' directly relates to data access speed and therefore impacts SLAs.
10 / 14
David from the Data Operations team sent a Slack message: 'Hey team, we're seeing spikes in data freshness alerts for user activity. It looks like the ETL pipeline is struggling to keep up with peak load. We need to investigate whether this violates our SLA.' Which of the following best describes David's primary concern?
David's message directly references 'data freshness alerts' and a 'breach' – these terms are central to SLAs. The core issue is that the ETL pipeline isn't meeting its performance targets as defined by the data SLA, leading to violations. Options A, C, and D introduce unrelated concepts or potential causes not immediately apparent from the message.
11 / 14
PR description: 'Implemented a new caching layer for user profile data. This is expected to reduce API latency and improve data freshness. Monitoring p95 freshness metrics post-deployment.' What does the phrase 'p95 freshness metrics' refer to?
'P95' is a common statistical term representing the 95th percentile. In this context, it signifies that the question refers to the point where 95% of all measured data freshness values fall below. It's a metric used to gauge performance and adherence to SLAs based on historical data – options B, C, and D introduce irrelevant concepts about user profiles, API requests, or anomaly detection.
12 / 14
During a standup, Maria says: 'We're currently investigating a potential SLA breach related to the new payment processing service. The data freshness reports show that transaction records are arriving with a delay of up to 15 minutes – significantly exceeding our agreed-upon SLO.' What is the most likely immediate action being considered?
Maria's statement clearly indicates a breach due to excessive delay. The most logical initial response is to investigate the monitoring systems and alerts – this allows for rapid identification of the source of the problem. Options A, B, and C represent longer-term investigative steps or external dependencies that are not the immediate focus.
13 / 14
In a code review comment on an API endpoint for order tracking: 'The response time is frequently above 500ms. We need to ensure this doesn't negatively impact the SLA for delivery confirmation data.' What potential consequence does the reviewer highlight?
The reviewer directly links the high response time to a potential breach of the SLA. SLA breaches often have associated consequences, such as financial penalties or degraded service quality. While options A, B and C could be *results* of an SLA breach, the immediate concern is the violation itself. Option D introduces network latency as a cause, which isn't directly addressed.
14 / 14
The incident management team is discussing a recent data SLA breach related to customer churn prediction. They've determined the root cause was a delayed update to the model training dataset. What term best describes the timeframe during which the impacted service continued to operate, despite not fully meeting its SLA requirements?
'Service margin' refers to the acceptable deviation from a target performance level, often defined within an SLA. During a breach, this represents the period where the service was still technically functioning but not meeting its agreed-upon standards. Options A and B are incorrect terms; 'Technical debt' is related to long-term code quality issues, and 'Operational Window' describes the hours of operation.
What does the "Data SLA Vocabulary" exercise practise?
Practice data SLA vocabulary: freshness, availability, latency SLO, SLA breach, grace period, and escalation.
How many questions are in this exercise?
This exercise has 14 questions, each multiple-choice with a full explanation shown after you answer.
What English level is this exercise for?
This exercise is tagged Intermediate. If the vocabulary feels difficult, browse the Data Contracts category page for an easier module to start with.
Is this exercise free to use?
Yes. Every exercise on CoderSlingo, including this one, is free with no account, sign-up, or paywall.
Do I get feedback if I answer incorrectly?
Yes — whichever option you choose, right or wrong, you'll immediately see an explanation clarifying the correct term and why the other options don't fit.
Can I retry this exercise?
Yes — once you finish all the questions, a "Try again" button on the results screen resets the exercise so you can practise as many times as you like.
Do I need an account to track my progress?
No account is required. Your progress bar and score for this session are tracked in the browser as you go, but nothing is saved once you leave the page.
Is "Data SLA Vocabulary" part of a larger series?
Yes — it's one exercise in the Data Contracts category on CoderSlingo. See the category page for the full list of related exercises on similar terminology.
Can I link directly to this exercise?
Yes — this exercise has its own permanent URL, so you can bookmark it or share the link directly with a colleague or study partner.
Where can I find more exercises like this one?
See the Data Contracts category page for related exercises, or browse the main Exercises hub for other IT English topics.