CCDAK test - Confluent Certified Developer for Apache Kafka Updated: 2024
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Exam Code: CCDAK Confluent Certified Developer for Apache Kafka test January 2024 by Killexams.com team
CCDAK Confluent Certified Developer for Apache Kafka
Title: Confluent Certified Developer for Apache Kafka (CCDAK)
The CCDAK (Confluent Certified Developer for Apache Kafka) is a professional certification offered by Confluent, the company behind Apache Kafka. It validates the knowledge and skills of developers in designing, developing, and implementing Apache Kafka-based solutions. The certification demonstrates expertise in building real-time streaming applications using Kafka.
The CCDAK certification program covers a comprehensive range of courses related to Apache Kafka development. The course provides participants with a solid foundation in Kafka concepts, architecture, and application development. The following is a general outline of the key areas covered in the CCDAK certification program:
1. Introduction to Apache Kafka:
- Kafka architecture and components
- Kafka topics, partitions, and offsets
- Kafka brokers and clusters
- Producers and consumers
- Kafka Connect and Kafka Streams
2. Kafka Core APIs:
- Producer API
- Consumer API
- Kafka Streams API
- Admin API
- Schema Registry API
3. Kafka Data Serialization:
- Avro schema evolution and compatibility
- JSON and binary data serialization
- Kafka message headers
- Serializers and deserializers
- Apache Kafka and Confluent schema registry
4. Kafka Streams Processing:
- Stream processing fundamentals
- Stream processing topologies
- Stateful and stateless operations
- Windowed operations
- Interactive queries
5. Kafka Connect and Integration:
- Kafka Connect architecture
- Connectors and transformations
- Sinks and sources
- Connect REST API
- Integration with external systems
The CCDAK certification test assesses candidates' understanding of Apache Kafka concepts, programming techniques, and best practices. The test objectives include, but are not limited to:
1. Demonstrating knowledge of Kafka architecture and components.
2. Implementing Kafka producers and consumers using the core APIs.
3. Developing real-time stream processing applications with Kafka Streams.
4. Configuring and managing Kafka Connect for data integration.
5. Understanding data serialization and compatibility using Avro and JSON.
6. Applying best practices for scalability, fault tolerance, and performance.
7. Troubleshooting and debugging Kafka applications.
The CCDAK certification program typically spans a multi-day training course or self-paced online learning modules. The syllabus provides a breakdown of the courses covered throughout the course, including specific learning objectives and milestones. The syllabus may include the following components:
- Introduction to Apache Kafka
- Kafka Core APIs and Application Development
- Kafka Data Serialization and Schema Registry
- Kafka Streams Processing and Real-time Analytics
- Kafka Connect and Integration with External Systems
- Best Practices and Advanced Topics
- test Preparation and Mock Tests
- Final CCDAK Certification Exam
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Confluent Certified Developer for Apache Kafka
is KSQL ANSI SQL compliant?
KSQL is not ANSI SQL compliant, for now there are no defined standards on streaming SQL languages
A Zookeeper ensemble contains 3 servers.
Over which ports the members of the ensemble should be able to communicate in default configuration? (select three)
2181 client port, 2888 peer port, 3888 leader port
You are running a Kafka Streams application in a Docker container managed by Kubernetes, and upon application
restart, it takes a long time for the docker container to replicate the state and get back to processing the data .
How can you Improve dramatically the application restart?
A. Mount a persistent volume for your RocksDB
B. Increase the number of partitions in your inputs topic
C. Reduce the Streams caching property
D. Increase the number of Streams threads
Although any Kafka Streams application is stateless as the state is stored in Kafka, it can take a while and lots of
resources to recover the state from Kafka. In order to speed up recovery, it is advised to store the Kafka Streams state
on a persistent volume, so that only the missing part of the state needs to be recovered.
A producer is sending messages with null key to a subject with 6 partitions using the DefaultPartitioner. Where will the
messages be stored?
A. Partition 5
B. Any of the subject partitions
C. The partition for the null key
D. Partition 0
Message with no keys will be stored with round-robin strategy among partitions.
A kafka subject has a replication factor of 3 and min.insync.replicas setting of 2 .
How many brokers can go down before a producer with acks=all cant produce?
acks=all and min.insync.replicas=2 means we must have at least 2 brokers up for the partition to be available
How can you gracefully make a Kafka consumer to stop immediately polling data from Kafka and gracefully shut
down a consumer application?
A. Call consumer.wakeUp() and catch a WakeUpException
B. Call consumer.poll() in another thread
C. Kill the consumer thread
A Zookeeper ensemble contains 5 servers .
What is the maximum number of servers that can go missing and the ensemble still run?
majority consists of 3 zk nodes for 5 nodes zk cluster, so 2 can fail
You have a Kafka cluster and all the courses have a replication factor of 3. One intern at your company stopped a
broker, and accidentally deleted all the data of that broker on the disk .
What will happen if the broker is restarted?
A. The broker will start, and other courses will also be deleted as the broker data on the disk got deleted
B. The broker will start, and wont be online until all the data it needs to have is replicated from other leaders
C. The broker will crash
D. The broker will start, and wont have any data. If the broker comes leader, we have a data loss
Kafka replication mechanism makes it resilient to the scenarios where the broker lose data on disk, but can recover
from replicating from other brokers. This makes Kafka amazing!
In the Kafka consumer metrics it is observed that fetch-rate is very high and each fetch is small .
What steps will you take to increase throughput?
A. Increase fetch.max.wait
B. Increase fetch.max.bytes
C. Decrease fetch.max.bytes
D. Decrease fetch.min.bytes
E. Increase fetch.min.bytes
This will allow consumers to wait and receive more bytes in each fetch request.
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During the last three months, 17 analysts shared their evaluations of Confluent (NASDAQ:CFLT), revealing diverse outlooks from bullish to bearish.
The table below provides a concise overview of exact ratings by analysts, offering insights into the changing sentiments over the past 30 days and drawing comparisons with the preceding months for a holistic perspective.
Providing deeper insights, analysts have established 12-month price targets, indicating an average target of $26.71, along with a high estimate of $39.00 and a low estimate of $21.00. Observing a downward trend, the current average is 30.73% lower than the prior average price target of $38.56.
Decoding Analyst Ratings: A Detailed Look
The perception of Confluent by financial experts is analyzed through exact analyst actions. The following summary presents key analysts, their exact evaluations, and adjustments to ratings and price targets.
Capture valuable insights into Confluent's market standing by understanding these analyst evaluations alongside pertinent financial indicators. Stay informed and make strategic decisions with our Ratings Table.
Stay up to date on Confluent analyst ratings.
Delving into Confluent's Background
Confluent Inc is a new category of data infrastructure designed to connect all the applications, systems, and data layers of a company around a real-time central nervous system. Its products include Confluent Platform; Connectors; ksqlDB and others. The company generates revenue from the sale of subscriptions and services. Geographically, it derives a majority of its revenue from the United States. It provides solutions to Financial Services; Insurance; Retail and eCommerce; Automotive; Government and other sectors.
Confluent: Delving into Financials
Market Capitalization: With restricted market capitalization, the company is positioned below industry averages. This reflects a smaller scale relative to peers.
Revenue Growth: Over the 3 months period, Confluent showcased positive performance, achieving a revenue growth rate of 31.93% as of 30 September, 2023. This reflects a substantial increase in the company's top-line earnings. As compared to competitors, the company encountered difficulties, with a growth rate lower than the average among peers in the Information Technology sector.
Net Margin: The company's net margin is below industry benchmarks, signaling potential difficulties in achieving strong profitability. With a net margin of -46.29%, the company may need to address challenges in effective cost control.
Return on Equity (ROE): Confluent's ROE is below industry standards, pointing towards difficulties in efficiently utilizing equity capital. With an ROE of -11.95%, the company may encounter challenges in delivering satisfactory returns for shareholders.
Return on Assets (ROA): Confluent's ROA is below industry averages, indicating potential challenges in efficiently utilizing assets. With an ROA of -3.95%, the company may face hurdles in achieving optimal financial returns.
Debt Management: Confluent's debt-to-equity ratio stands notably higher than the industry average, reaching 1.41. This indicates a heavier reliance on borrowed funds, raising concerns about financial leverage.
Understanding the Relevance of Analyst Ratings
Analyst ratings serve as essential indicators of stock performance, provided by experts in banking and financial systems. These certified diligently analyze company financial statements, participate in conference calls, and engage with insiders to generate quarterly ratings for individual stocks.
Some analysts publish their predictions for metrics such as growth estimates, earnings, and revenue to provide additional guidance with their ratings. When using analyst ratings, it is important to keep in mind that stock and sector analysts are also human and are only offering their opinions to investors.
If you want to keep track of which analysts are outperforming others, you can view updated analyst ratings along withanalyst success scores in Benzinga Pro.
This article was generated by Benzinga's automated content engine and reviewed by an editor.
The stock market fared well in November, and the S&P 500 (SNPINDEX: ^GSPC) index rose by 8.9% in 30 days. However, Confluent (CFLT -0.14%) missed the memo. Shares of the data-streaming technology expert fell 26.6% in November 2023, according to data from S&P Global Market Intelligence. The big drop sprung from Confluent's third-quarter earnings report at the very start of the month, or rather, from management's market forecast in that report.
Why did Confluent miss the November rally?
There was nothing wrong with the data mover's earnings report. The average analyst expected break-even earnings on sales near $195 million. The real results exceeded these targets, as the bottom line swung from a net loss of $0.13 per share to positive earnings of $0.02 per share. Revenues rose 32% year over year, landing at $200 million.
That was not the problem here. Instead, many Confluent investors headed for the exits after the earnings call, where management issued revenue guidance below the Street projections at the time.
Fourth-quarter sales were aimed at roughly $205 million, merely 22% above the same period in 2022. The consensus view among analysts at the time was approximately $213 million. The core issue lies with two of Confluent's largest customers, one of whom is moving operations from cloud servers to in-house data centers, and the other is being acquired. In both cases, these critical Confluent customers will use less of the company's data-streaming services going forward.
Confluent's stock price closed a jaw-dropping 42% lower the next day. Analysts were quick to issue bullish reports, calling the stock a buy at these bargain-basement prices, even though many also lowered their target prices for the stock. Despite this rush of analyst support, the damage was done, and Confluent still experienced a substantial price drop in November as a whole.
Where will Confluent stock go from here?
So Confluent is losing some low-hanging fruit in the form of existing mega-customers, but the company is still growing at a breakneck pace and exploring a massive untapped market. Data streams managed by Confluent's Kafka software play essential roles in high-growth market segments, such as the Internet of Things, Web3, and real-time data analytics, and management sees a global market worth $60 billion of annual revenues. The company has captured roughly 1% of that opportunity so far. Even a modest long-term market share of 10% to 20% would represent a spectacular boost to Confluent's business.
Confluent's revenues are lumpy due to the company's small size, so the status of one or two important contracts can unleash exaggerated market reactions from time to time. But the fundamental story is still the same: Confluent's innovative data delivery solutions are in high demand, and the business opportunity should only grow as the aforementioned technology trends play out.
Long story short, I see this price drop as a wide-open buying window for Confluent stock.
Shares of Confluent (CFLT) have begun to rebound following a one-day plunge of 42% at the start of November caused by a Q4 revenue outlook that missed the consensus estimate and an initial 2024 top-line growth forecast that fell short of expectations.
Recently trading at $22.41, the stock has rallied 52% from the new post-IPO low of $14.69 reached on November 2, although itâs still well below the 52-week high of $41.22. The provider of a real-time data streaming platform went public in June 2021 at $36 a share.
Confluent actually delivered a pretty solid Q3 report. Total revenue of $200.2 million gained 32% and topped the consensus of $195.4 million. Subscription revenue of $189.3 million was up 36%, with the platform revenue portion showing accelerated growth of 19% versus Q2 growth of 16%. Gross margin jumped 540 basis points year over year to 76.4%. Confluent reported earnings of two cents a share, topping the consensus by two cents.
Confluent Cloud revenue of $91.6 million slightly missed the outlook of $92.2 million, but still showed strong growth of 61%. The consumption-based cloud business is Confluentâs main growth driver and also sports a dollar-based retention rate above 130%. The cloud is steadily growing in importanceâit now represents 46% of total revenue, up from 44% in the previous quarter and 38% a year ago.
The main reason for the harsh sell-off in Confluent shares was a slowdown in new cloud revenue caused by organizations reining in consumption due to macro uncertainty. In Q2, Confluent added $9.9 million in cloud revenue on a sequential basis. After adding $8 million of new cloud revenue in Q3, Confluent guided to a Q4 addition of around $6.2 million. This resulted in the company offering a Q4 total revenue outlook that was 3.8% below the consensus.
On the Q3 earnings call, Confluent management called out a challenging spending environment, which is hurting organic consumption and causing a slowdown in new use cases for real-time data streaming. Two large customers will account for about half of the expected Q4 consumption shortfall. One of the customers moved workloads back to its own datacenter to cut costs, while the other customer slowed consumption ahead of being acquired.
With macro headwinds showing no signs of easing, Confluent management thought it was prudent to issue a conservative initial outlook for next year. The companyâs 2024 total revenue growth forecast of 22% (down from estimated 2023 growth of 31%) missed the consensus growth estimate of 28%.
Part of the cautiousness for next year is tied to a change in go-to-market operations that may cause some disruption in sales execution over at least the next few quarters. Going forward, 100% of a sales repâs cloud compensation will be based on incremental consumption and new logo acquisition versus 10% to 15% previously. For reps, the new goal is to bring in cloud revenue rather than new bookings or committed spend. Confluent will keep the vast majority of customer revenue under committed contracts. However, it wonât attempt to get commitments ahead of usage, meaning committed amounts will now be fully customer-driven.
Wall Street is mixed on Confluent following the guide-down. There were a lot of price target cuts and some downgrades. BofA downgraded Confluent to âUnderperformâ because it thinks the accelerated transition to a consumption go-to-market model could weigh on growth for at least a full year. Truist lowered its target to $27 from $42, calling out macro headwinds and the shift in sales compensation. JMP Securities trimmed its target to $25, but still likes the story, as Confluent offers the leading commercial solution to store and process real-time data feeds.
Mizuho maintained its âBuyâ rating because it continues to expect data streaming adoption to expand over the medium-term and views the companyâs platform as best-in-class. Wolfe Research upgraded Confluent to âBuy,â saying the sharp drop in the stock price reset investor expectations ahead of an anticipated improvement in the business in 2025. The firm believes Confluentâs underlying fundamentals remain unchanged.
Guggenheim upgraded Confluent to âBuyâ with a target of $23. The firm argues that the company is âstructurally soundâ and is convinced that Confluent represents a âtransformative technologyâ that has become an integral part of the modern tech stack. Guggenheim also called out the reduced valuation. At exact prices, the enterprise value is 6.5 times the 2024 consensus revenue estimate of $940.3 million.
In late November, Bernstein initiated Confluent at âOutperformâ with a price target of $34, saying it views the company as an attractive revenue story, with tailwinds from cloud adoption and a durable competitive position relative to hyperscalers and new entrants.
Bernstein notes that Confluent is the leading offering for self-hosted and managed Kafka, the dominant open-source standard for real-time data streaming. As the leading contributor to Kafka, the firm argues that Confluent has a durable advantageâitâs the most complete and forward-looking vendor, with high-performing and robust proprietary add-ons versus new entrants. Plus, Bernstein sees Confluentâs hosted offering as an attractive âSwitzerlandâ product compared to the hyperscalers.
For 2024 and 2025, Bernstein is modeling mid-30% revenue growth, well above consensus estimates. This upside versus the consensus reflects the firmâs more upbeat cloud expectations and the belief that the Q3 idiosyncratic customer behavior will dissipate in the coming year.
Bernstein says Confluentâs growth has historically had a strong correlation to overall cloud growth, which could begin to reaccelerate next year. The firm believes Confluent can continue to build market share over the long-term and estimates nearly $6 billion of total ARR by the end of 2030.
NeedhamÂ analystÂ Mike CikosÂ maintainedÂ Confluent IncÂ (NASDAQ:CFLT) with a Buy and raised theÂ price target from $23 to $30.
The analyst added CFLT to Needham's Conviction List as the Infrastructure and Analytics Software top pick in 2024,Â replacingÂ MongoDB, IncÂ (NASDAQ:MDB).Â
Despite a exact run-up, Confluent is still 17% below its pre-3QCY23 earnings print - providing a compelling opportunity, the analyst writes.Â
Cikos sees multiple growth vectors in CY24 deriving from the go-to-market and product roadmap.Â
Over the next twelve months, the analyst noted that Confluent outperformed his coverage due to the upward estimate revisions and multiple expansions.
Also Read:Â Confluent's Cloud Focus Aligns With Long-Term Growth, Analyst Projects Upswing In CY24 Performance
The CY24 catalysts included go-to-market transformation where 100% of sales reps' compensation is based on Consumption and New Logos (versus 10%-15% in CY23).Â
Also, Flink becomes generally available in 1QCY24, which Cikos noted can lead to scaling revenue contribution in 4QCY24 into CY25.Â
Additionally, investments in the product roadmap should result in FedRAMP authorization exiting CY24.
The management's CY24 outlook already incorporated multiple headwinds, the analyst noted.
The analyst projected Q4 revenue and EPS of $205.4 million (consensus $205.3 million) and $0.05 (consensus $0.05).
Price Action: CFLT shares are closed lower by 2.91% at $22.72 on Tuesday.
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